What Business Decisions Jobs are in India?
Showing 750 Business Decisions jobs in India
Job Description
Description
We are building Amazon's first horizontal self-serve decisioning platform - an intelligence layer that upgrades static rule-based systems into outcome-learning, context-aware decision engines. The platform serves multiple tenants across multiple organizations and domains, each requiring structured onboarding, cross-org coordination, and production launch governance.
As a Business Analyst at Amazon, you will serve as a key analytical contributor working on complex business problems across multiple projects. This role combines execution with emerging strategic thinking to deliver data-driven solutions that influence business decisions. You'll work independently with limited guidance, leveraging advanced analytical tools and techniques to provide diagnostic analyses and generate insights that support team goals. The position requires strong technical skills in data analysis, excellent problem-solving capabilities, and the ability to communicate effectively with stakeholders up to senior leadership levels. You'll be responsible for optimizing analytical practices, streamlining business processes, and mentoring others while managing multiple priorities. This role offers the opportunity to drive significant impact through data-informed decisions and process improvements that support Amazon's customer-centric mission.
Key job responsibilities
The candidate will own the production and delivery of a suite of standard reports, tools regularly used by the organization to make key business decisions. This will involve:
1. Creating, supporting and continuously improving reports and metrics that support the business operations
2. Converting data into digestible business intelligence and actionable information using tools like Quicksight/Tableau
3. Shaping and delivering key metrics, reports, and indicators by which business can assess its performance
4. Diving deep into large data sets to answer specific business questions using Excel, SQL and other data manipulation languages and present findings and recommendations to senior leadership
5. Working directly with business teams to utilize metrics and analysis to determine improvement opportunities
Tools used include:
1. SQL (Redshift)
2. Excel Advanced VBA
3. Tableau/Quicksight
4. Report scheduling tools (internal)
5. AWS (S3, Lambda, Athena)
About the team
We operate at the intersection of product, science, and GTM - building a platform that connects decision systems across Amazon so that one signal makes all of them smarter. The platform is live with founding tenants, scaling to broad GA, and building pipeline for pan-Amazon adoption. This role is critical to ensuring that every tenant moving through the funnel has the data foundation needed to succeed.
You will work directly with platform tech and business (applied science, engineering, PgMs, and tenant-side stakeholders) to deliver analytical solutions - data readiness assessments, diagnostic deep-dives, performance reporting, and actionable business intelligence - that generate insights across multiple tenants and inform decisions on where to invest, where to course-correct, and when a tenant is ready for production.
Basic Qualifications
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 5+ years of business analyst, data analyst or similar role experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with Excel
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations
- Experience in process improvement
- Experience in stakeholder management, including influencing executive level global leaders
- Experience in technical support, or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience in managing and troublshooting network
- Experience in SQL data manipulation
- Knowledge of visualization tools such as Tableau, Datazen, SSRS
- Basic understanding of statistical analysis
Preferred Qualifications
- Master's degree in a related field
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in mentoring, leading, or managing more junior engineers
- Experience with Python or R programming
- Experience in e-commerce or retail analytics
- Prior experience working in a fast-paced, data-driven environment
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
We are building Amazon's first horizontal self-serve decisioning platform - an intelligence layer that upgrades static rule-based systems into outcome-learning, context-aware decision engines. The platform serves multiple tenants across multiple organizations and domains, each requiring structured onboarding, cross-org coordination, and production launch governance.
As a Business Analyst at Amazon, you will serve as a key analytical contributor working on complex business problems across multiple projects. This role combines execution with emerging strategic thinking to deliver data-driven solutions that influence business decisions. You'll work independently with limited guidance, leveraging advanced analytical tools and techniques to provide diagnostic analyses and generate insights that support team goals. The position requires strong technical skills in data analysis, excellent problem-solving capabilities, and the ability to communicate effectively with stakeholders up to senior leadership levels. You'll be responsible for optimizing analytical practices, streamlining business processes, and mentoring others while managing multiple priorities. This role offers the opportunity to drive significant impact through data-informed decisions and process improvements that support Amazon's customer-centric mission.
Key job responsibilities
The candidate will own the production and delivery of a suite of standard reports, tools regularly used by the organization to make key business decisions. This will involve:
1. Creating, supporting and continuously improving reports and metrics that support the business operations
2. Converting data into digestible business intelligence and actionable information using tools like Quicksight/Tableau
3. Shaping and delivering key metrics, reports, and indicators by which business can assess its performance
4. Diving deep into large data sets to answer specific business questions using Excel, SQL and other data manipulation languages and present findings and recommendations to senior leadership
5. Working directly with business teams to utilize metrics and analysis to determine improvement opportunities
Tools used include:
1. SQL (Redshift)
2. Excel Advanced VBA
3. Tableau/Quicksight
4. Report scheduling tools (internal)
5. AWS (S3, Lambda, Athena)
About the team
We operate at the intersection of product, science, and GTM - building a platform that connects decision systems across Amazon so that one signal makes all of them smarter. The platform is live with founding tenants, scaling to broad GA, and building pipeline for pan-Amazon adoption. This role is critical to ensuring that every tenant moving through the funnel has the data foundation needed to succeed.
You will work directly with platform tech and business (applied science, engineering, PgMs, and tenant-side stakeholders) to deliver analytical solutions - data readiness assessments, diagnostic deep-dives, performance reporting, and actionable business intelligence - that generate insights across multiple tenants and inform decisions on where to invest, where to course-correct, and when a tenant is ready for production.
Basic Qualifications
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 5+ years of business analyst, data analyst or similar role experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with Excel
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations
- Experience in process improvement
- Experience in stakeholder management, including influencing executive level global leaders
- Experience in technical support, or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience in managing and troublshooting network
- Experience in SQL data manipulation
- Knowledge of visualization tools such as Tableau, Datazen, SSRS
- Basic understanding of statistical analysis
Preferred Qualifications
- Master's degree in a related field
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in mentoring, leading, or managing more junior engineers
- Experience with Python or R programming
- Experience in e-commerce or retail analytics
- Prior experience working in a fast-paced, data-driven environment
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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0
Director Business Analytics, AI & Decision Intelligence
Maharashtra
Amber
Posted 6 days ago
Job Viewed
Job Description
Director Business Analytics, AI & Decision Intelligence
About Amber
Amber is the leading student housing platform globally, helping students find and book long-term accommodation near their universities.
Think of Amber as Booking.com for student housing.
Today, Amber serves students from over 160 countries and partners with leading property operators and universities across major education destinations worldwide.
Backed by leading investors including Gaja Capital, Amber is building the operating system for international student living.
Why this role exists
Amber has built a strong data foundation and business intelligence capability.
The next phase of growth requires transforming data from a reporting asset into a competitive advantage.
We are looking for a leader who can combine business acumen, analytics, AI, and data science to improve decision-making, unlock new growth opportunities, automate workflows, and drive measurable business outcomes.
This role will work closely with the leadership team to build an AI-first decision intelligence function that powers every major business decision across growth, operations, supply, partnerships, product, and finance.
What You'll Own
Business & Growth Analytics
- Own the analytics agenda across the business
- Identify opportunities to improve acquisition, conversion, retention, monetization, and operational efficiency
- Drive deep analysis of student journeys, booking funnels, cancellations, partner performance, and revenue drivers
- Partner with leadership on growth strategy, market expansion, and resource allocation decisions
- Build frameworks for measuring business performance across countries, destinations, universities, and partner segments
AI & Decision Intelligence
- Define and execute Amber's AI roadmap across analytics
- Build AI-powered decision support systems that proactively identify opportunities and risks
- Develop AI copilots and self-serve intelligence tools for business teams
- Leverage LLMs, agentic workflows, and modern AI tooling to automate analysis and decision-making processes
- Partner with business leaders to redesign workflows using AI
Revenue & Commercial Intelligence
- Drive pricing, commission, profitability, and revenue optimization initiatives
- Analyze marketplace dynamics
Analytics Leadership
- Build and lead a high-performing analytics, data science, and AI team
- Create a culture of hypothesis-driven and AI-enabled decision making
- Mentor analysts, data scientists, and analytics managers
- Partner closely with Product, Engineering, Finance, Marketing, Operations, and Partnerships teams
What We're Looking For
Experience
- 10+ years of experience across Analytics, Data Science, Growth Analytics, Revenue Analytics, AI, or related fields
- Experience leading analytics and data teams in high-growth internet, marketplace, travel, e-commerce
- Proven track record of driving measurable business outcomes through analytics and data initiatives
- Experience partnering directly with founders, executives, or business leaders
AI & Data Expertise
- Strong understanding of modern AI ecosystems including LLMs, AI agents, RAG architectures, and workflow automation
- Experience deploying AI-driven solutions into business processes
- Familiarity with modern AI and data tooling ecosystems
- Experience building predictive models and operationalizing data science initiatives
- Strong understanding of experimentation and model evaluation frameworks
Technical Skills
- Advanced SQL
- Strong Python or equivalent analytical programming expertise
- Strong statistical and analytical foundations
- Experience with modern data warehouses and analytics infrastructure
- Experience with BI platforms and self-serve analytics ecosystems
Leadership Skills
- Ability to connect business strategy with data and AI capabilities
- Strong communication and stakeholder management skills
- Experience scaling teams and building organizational capabilities
- Exceptional structured problem-solving ability
What You'll Get
- Opportunity to shape one of the largest global student accommodation platforms
- Direct exposure to company strategy and leadership decisions
- Significant ownership and autonomy
- Fast-paced growth environment and working with global teams
- Competitive compensation and ESOPs
- Open, transparent, and ambitious culture
Location: Pune, India
How to Apply: Reach out to
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1
Product Marketing Manager - Self-Serve Decisioning Platform, Retail Business Services (RBS)
Bengaluru
Amazon
Posted 6 days ago
Job Viewed
Job Description
Description
We are building Amazon's first horizontal self-serve decisioning platform - an intelligence layer that upgrades static rule-based systems into outcome-learning, context-aware decision engines. The platform serves multiple tenants across multiple organizations and domains, each with distinct adoption barriers, decision types, and stakeholder personas.
We are looking for a Product Marketing Manager to own and execute the adoption strategy for this platform. This is not a traditional marketing role - it requires equal parts strategic thinking, stakeholder management, and hands-on execution in a highly technical, multi-org environment where trust is earned
Key job responsibilities
Demand Generation & Awareness
- Design and execute proof-led marketing campaigns that move system owners from unaware to actively considering the platform
- Create compelling experiential demos, case studies, and proof-point collateral grounded in production data
- Drive multi-tenant, multi-org awareness across diverse personas: system owners, engineering leads, domain SMEs, and senior leadership sponsors
Adoption Funnel Ownership
- Own the full adoption funnel: awareness → consideration → prototyping → onboarding → live
- Identify and address persona-specific barriers at each stage - awareness and perceived ROI at the top, data readiness and bandwidth commitment in the middle, trust and governance at launch
- Build and maintain tenant pipeline visibility - track where each prospect is in their lifecycle and what moves them forward
Go-to-Market Execution
- Develop and iterate on messaging and positioning that resonates with technical and non-technical stakeholders across multiple organizations
- Create onboarding enablement assets: tenant-facing toolkits, self-serve assessment guides, workshop playbooks, and experiential prototyping materials
- Partner with product, science, and engineering teams to translate platform capabilities into customer-facing value narratives
Cross-Org Stakeholder Management
- Navigate complex multi-persona commitment structures (builder, system owner, sponsor) across organizational boundaries
- Build relationships with decision-makers in prospective tenant orgs and drive them through consideration cycles
- Work closely with UDE organizations to align defect-driven demand with platform onboarding pipeline
Measurement & Iteration
- Define and track adoption metrics: funnel conversion rates, time-to-onboard, awareness penetration, pipeline quality
- Run experiments on messaging, channels, and engagement tactics - iterate based on data
- Report adoption health to platform leadership with actionable insights
Basic Qualifications
- 5+ years of professional non-internship marketing experience
- 5+ years of product or program management, product marketing, business development or technology experience
- Experience communicating technical concepts and processes using clear, simple language and visuals
- Experience driving demand and managing a customer funnel across multiple channels
- Experience in building and driving adoption of new tools
- Experience marketing horizontal platforms or developer/infrastructure tools to internal or external enterprise audiences
- Demonstrated ability to drive adoption in multi-stakeholder environments where the buyer ≠ the user ≠ the sponsor
Preferred Qualifications
- Experience in platform adoption within large-scale technology organizations (internal platforms, SaaS, or enterprise tooling)
- Familiarity with ML/AI product marketing - ability to credibly engage with science and engineering teams
- Experience with multi-tenant platform economics and self-serve go-to-market models
- Background in change management or organizational adoption (navigating trust barriers, consideration cycles, cross-org alignment)
- Data-driven mindset: comfortable with funnel analytics, cohort analysis, and experimentation frameworks
- MBA or equivalent experience in product marketing strategy
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
We are building Amazon's first horizontal self-serve decisioning platform - an intelligence layer that upgrades static rule-based systems into outcome-learning, context-aware decision engines. The platform serves multiple tenants across multiple organizations and domains, each with distinct adoption barriers, decision types, and stakeholder personas.
We are looking for a Product Marketing Manager to own and execute the adoption strategy for this platform. This is not a traditional marketing role - it requires equal parts strategic thinking, stakeholder management, and hands-on execution in a highly technical, multi-org environment where trust is earned
Key job responsibilities
Demand Generation & Awareness
- Design and execute proof-led marketing campaigns that move system owners from unaware to actively considering the platform
- Create compelling experiential demos, case studies, and proof-point collateral grounded in production data
- Drive multi-tenant, multi-org awareness across diverse personas: system owners, engineering leads, domain SMEs, and senior leadership sponsors
Adoption Funnel Ownership
- Own the full adoption funnel: awareness → consideration → prototyping → onboarding → live
- Identify and address persona-specific barriers at each stage - awareness and perceived ROI at the top, data readiness and bandwidth commitment in the middle, trust and governance at launch
- Build and maintain tenant pipeline visibility - track where each prospect is in their lifecycle and what moves them forward
Go-to-Market Execution
- Develop and iterate on messaging and positioning that resonates with technical and non-technical stakeholders across multiple organizations
- Create onboarding enablement assets: tenant-facing toolkits, self-serve assessment guides, workshop playbooks, and experiential prototyping materials
- Partner with product, science, and engineering teams to translate platform capabilities into customer-facing value narratives
Cross-Org Stakeholder Management
- Navigate complex multi-persona commitment structures (builder, system owner, sponsor) across organizational boundaries
- Build relationships with decision-makers in prospective tenant orgs and drive them through consideration cycles
- Work closely with UDE organizations to align defect-driven demand with platform onboarding pipeline
Measurement & Iteration
- Define and track adoption metrics: funnel conversion rates, time-to-onboard, awareness penetration, pipeline quality
- Run experiments on messaging, channels, and engagement tactics - iterate based on data
- Report adoption health to platform leadership with actionable insights
Basic Qualifications
- 5+ years of professional non-internship marketing experience
- 5+ years of product or program management, product marketing, business development or technology experience
- Experience communicating technical concepts and processes using clear, simple language and visuals
- Experience driving demand and managing a customer funnel across multiple channels
- Experience in building and driving adoption of new tools
- Experience marketing horizontal platforms or developer/infrastructure tools to internal or external enterprise audiences
- Demonstrated ability to drive adoption in multi-stakeholder environments where the buyer ≠ the user ≠ the sponsor
Preferred Qualifications
- Experience in platform adoption within large-scale technology organizations (internal platforms, SaaS, or enterprise tooling)
- Familiarity with ML/AI product marketing - ability to credibly engage with science and engineering teams
- Experience with multi-tenant platform economics and self-serve go-to-market models
- Background in change management or organizational adoption (navigating trust barriers, consideration cycles, cross-org alignment)
- Data-driven mindset: comfortable with funnel analytics, cohort analysis, and experimentation frameworks
- MBA or equivalent experience in product marketing strategy
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Is this job a match or a miss?
Apply Now
2
Senior Program Manager - Decision Platform, Retail Business Services (RBS)
Posted 6 days ago
Job Viewed
Job Description
Description
We are building Amazon's first horizontal self-serve decisioning platform - an intelligence layer that upgrades static rule-based systems into outcome-learning, context-aware decision engines. The platform serves multiple tenants across multiple organizations and domains, each requiring structured onboarding, cross-org coordination, and production launch governance.
We are looking for a Program Manager to own tenant onboarding execution end-to-end - from first contact through production launch and steady-state operations. This role operates at the intersection of platform product, tenant engineering, and business stakeholders - orchestrating complex multi-party programs where each tenant brings a different tech stack, org structure, data readiness level, and decision type.
Key job responsibilities
Tenant Onboarding Execution
- Own the end-to-end onboarding lifecycle - contract → data readiness → prototyping → shadow mode → production launch.
- Manage parallel tracks across multiple tenants simultaneously at different stages.
- Drive timelines against committed milestones, identify blockers early, and escalate decisively across cross-org dependencies.
Cross-Org Stakeholder Management
- Navigate multi-persona commitment structures (builder, system owner, sponsor) across organizational boundaries.
- Coordinate across platform engineering, applied science, BA/RA teams, and tenant-side engineering.
- Serve as the single-threaded owner tenant leadership engages with throughout onboarding.
Process Design & Operational Excellence
- Design and iterate on scalable onboarding processes - playbooks, health dashboards, RACI matrices, milestone trackers.
- Drive process improvements as the platform moves from bespoke onboarding to self-serve at scale.
Data Readiness & Pre-flight
- Drive data readiness (the #1 time sink) by providing clear requirements, checklists, and embedded support.
- Coordinate pre-flight validation: data quality gates, signal checks, and integration testing.
- Ensure contract commitments are met before prototype begins.
Governance & Launch Readiness
- Coordinate shadow mode, launch readiness reviews (circuit breakers, fail-safes, RACI sign-off), and transition to steady-state operations with support handoff and monitoring.
Pipeline & Reporting
- Maintain full pipeline visibility. Report program health with actionable metrics: onboarding velocity, time-to-production, blocker resolution.
- Partner with GTM to convert qualified demand into onboarding-ready tenants.
About the team
We operate at the intersection of product, science, and GTM - building a platform that connects decision systems across Amazon so that one signal makes all of them smarter. The platform is live with founding tenants, scaling to broad GA, and building pipeline for pan-Amazon adoption. This role is critical to ensuring that every tenant that enters the funnel moves through onboarding with velocity, quality, and trust.
You will work directly with platform leadership, applied science, engineering, BA/RAs, and tenant-side stakeholders to drive the operational machinery that turns platform readiness into production impact - one tenant at a time, then many in parallel.
Basic Qualifications
- 5+ years of working cross functionally with tech and non-tech teams experience
- 5+ years in program management, technical program management, or platform operations roles
- Experience managing multi-party programs with cross-organizational dependencies and competing priorities
- Demonstrated ability to drive programs in environments with ambiguity - where processes don't exist yet and must be built while executing
- Strong stakeholder management skills - comfortable holding senior leaders accountable to commitments and escalating decisively when programs are at risk
- Track record of managing parallel workstreams (5+ concurrent programs) with clear milestone tracking and proactive risk management
- Excellent written communication - able to produce clear program documents, status reports, and playbooks that scale beyond the individual
Preferred Qualifications
- Master's degree, or MBA in management, business administration, economics, engineering, marketing
- Experience in platform onboarding, developer ecosystem programs, or internal tooling adoption at large-scale technology organizations
- Familiarity with data platform or ML/AI product ecosystems - comfortable navigating conversations about data readiness, model validation, and production governance
- Background in building scalable onboarding processes that reduce per-tenant effort over time (self-serve model design)
- Experience with change management in multi-org environments - driving adoption where commitment requires budget, headcount, and cross-functional alignment
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
We are building Amazon's first horizontal self-serve decisioning platform - an intelligence layer that upgrades static rule-based systems into outcome-learning, context-aware decision engines. The platform serves multiple tenants across multiple organizations and domains, each requiring structured onboarding, cross-org coordination, and production launch governance.
We are looking for a Program Manager to own tenant onboarding execution end-to-end - from first contact through production launch and steady-state operations. This role operates at the intersection of platform product, tenant engineering, and business stakeholders - orchestrating complex multi-party programs where each tenant brings a different tech stack, org structure, data readiness level, and decision type.
Key job responsibilities
Tenant Onboarding Execution
- Own the end-to-end onboarding lifecycle - contract → data readiness → prototyping → shadow mode → production launch.
- Manage parallel tracks across multiple tenants simultaneously at different stages.
- Drive timelines against committed milestones, identify blockers early, and escalate decisively across cross-org dependencies.
Cross-Org Stakeholder Management
- Navigate multi-persona commitment structures (builder, system owner, sponsor) across organizational boundaries.
- Coordinate across platform engineering, applied science, BA/RA teams, and tenant-side engineering.
- Serve as the single-threaded owner tenant leadership engages with throughout onboarding.
Process Design & Operational Excellence
- Design and iterate on scalable onboarding processes - playbooks, health dashboards, RACI matrices, milestone trackers.
- Drive process improvements as the platform moves from bespoke onboarding to self-serve at scale.
Data Readiness & Pre-flight
- Drive data readiness (the #1 time sink) by providing clear requirements, checklists, and embedded support.
- Coordinate pre-flight validation: data quality gates, signal checks, and integration testing.
- Ensure contract commitments are met before prototype begins.
Governance & Launch Readiness
- Coordinate shadow mode, launch readiness reviews (circuit breakers, fail-safes, RACI sign-off), and transition to steady-state operations with support handoff and monitoring.
Pipeline & Reporting
- Maintain full pipeline visibility. Report program health with actionable metrics: onboarding velocity, time-to-production, blocker resolution.
- Partner with GTM to convert qualified demand into onboarding-ready tenants.
About the team
We operate at the intersection of product, science, and GTM - building a platform that connects decision systems across Amazon so that one signal makes all of them smarter. The platform is live with founding tenants, scaling to broad GA, and building pipeline for pan-Amazon adoption. This role is critical to ensuring that every tenant that enters the funnel moves through onboarding with velocity, quality, and trust.
You will work directly with platform leadership, applied science, engineering, BA/RAs, and tenant-side stakeholders to drive the operational machinery that turns platform readiness into production impact - one tenant at a time, then many in parallel.
Basic Qualifications
- 5+ years of working cross functionally with tech and non-tech teams experience
- 5+ years in program management, technical program management, or platform operations roles
- Experience managing multi-party programs with cross-organizational dependencies and competing priorities
- Demonstrated ability to drive programs in environments with ambiguity - where processes don't exist yet and must be built while executing
- Strong stakeholder management skills - comfortable holding senior leaders accountable to commitments and escalating decisively when programs are at risk
- Track record of managing parallel workstreams (5+ concurrent programs) with clear milestone tracking and proactive risk management
- Excellent written communication - able to produce clear program documents, status reports, and playbooks that scale beyond the individual
Preferred Qualifications
- Master's degree, or MBA in management, business administration, economics, engineering, marketing
- Experience in platform onboarding, developer ecosystem programs, or internal tooling adoption at large-scale technology organizations
- Familiarity with data platform or ML/AI product ecosystems - comfortable navigating conversations about data readiness, model validation, and production governance
- Background in building scalable onboarding processes that reduce per-tenant effort over time (self-serve model design)
- Experience with change management in multi-org environments - driving adoption where commitment requires budget, headcount, and cross-functional alignment
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Is this job a match or a miss?
Apply Now
3
Job Description
Vymo transforms how financial institutions manage their distribution networks and collections operations. Our AI-powered DMS and CMS platform serves 350,000+ users across 70+ global financial enterprises, enabling banks and insurers to optimize performance across their distribution channels, and empowering banks to drive operational excellence in collections.
Why Global Leaders Choose Vymo
Vymo partners with financial institutions through a comprehensive solution that combines deep domain expertise with cutting-edge technology. Our platform's human-centric design, coupled with enterprise-grade scalability and AI-powered intelligence, delivers measurable business outcomes while ensuring high user adoption and engagement.
Recognition & Trust
● Backed by $45M+ funding from Peak XV partners (formerly Sequoia), Emergence Capital, and Bertelsmann Investments.
● Trusted by leading global financial institutions including Berkshire Hathaway, AIA, AXA, SBI Life, HDFC Bank, Aditya Birla Capital, Tata AIA, ABSLI and many more!
● Recognized by Celent in their 2024 Distribution Management Solutions report, with an Advanced Functionality ranking.
● Featured in Gartner's Market Guide for Sales Engagement Applications and recognized as a
"Strong Performer" in Forrester's Sales Engagement Wave Report.
● Microsoft 'AI for All' award winner for innovation in artificial intelligence
The Role
Credit decisions at scale — whether a loan gets approved, at what rate, under what conditions — are governed by business rule engines and decision frameworks that have been refined over decades inside banks, NBFCs, and risk analytics firms. Vymo's agentic AI systems interact with, augment, and in some cases replace components of these decisioning frameworks.
Building the right system requires someone who understands how business rule engines actually work: how rules are authored, versioned, tested, and deployed; how credit policy translates into decision logic; where the standard engines fall short and where manual override is still the norm. That is this role.
You are the person who sits between a client's risk team and Vymo's product team — making sure that what is being built reflects how credit decisioning actually works in a regulated Indian financial institution, not how a software team imagines it works. You will carry domain knowledge from the BRE layer through to the underwriting policy and credit risk framework that sits above it.
The crux of this role: you know enough about credit decisioning and BRE architecture to know which questions, asked in which sequence, reveal how a client's decision engine actually works — and what Vymo needs to build to sit alongside it or replace it.
What You Will Do
1. Client Discovery — Decode the Decision Engine
- Diagnose architectural realities and data flows by asking targeted questions that reveal system dependencies, latencies, and integration requirements.
- Translate discovered logic gaps into actionable visual maps and precise engineering specifications for the product team.
2. Product Requirements — Translate Decisioning Logic Into What to Build
- Translate credit decisioning and Business Rule Engine (BRE) logic into precise product specifications for Vymo's agentic layer, defining routing, rule execution, and human-in-the-loop interventions.
- Validate technical assumptions against BFSI deployment cycles while mapping major BRE platforms (e.g., SAS, Experian, FICO) to ensure architectural accuracy.
3. GTM Support — Lend Credibility to the Technical Sales Conversation
- Partner with sales teams in high-stakes sessions to provide deep architectural credibility and handle advanced technical inquiries regarding BRE and decisioning systems.
- Act as a trusted advisor to client architects and risk heads, auditing technical proposals and developing GTM assets that address platform constraints and regulatory governance.
4. Industry Intelligence — Track How Decisioning Is Evolving
- Track RBI regulatory changes—including the Model Risk Management Framework (MRMF) and AI explainability rules—alongside Indian BRE market trends to anticipate compliance demands.
- Build a strong network of industry experts to validate core architecture choices and feed real-world market insights directly into the product roadmap.
What You will Bring
Experience & Fluency
- Domain Background: Operational depth in credit decisioning across key sectors—whether coming from BRE vendors (SAS, FICO, Experian), bank/NBFC credit risk teams, underwriting operations, risk consulting, or credit bureaus.
- BRE & Risk Architecture: Deep understanding of Business Rule Engine (BRE) architectures, rule authoring, champion-challenger frameworks, scorecard calibration, and baseline risk concepts ($PD/LGD/EAD$).
- Origination & Integration Landscape: Practical knowledge of Loan Origination System (LOS) integration patterns, core platform configurations (e.g., PowerCurve, Blaze Advisor), and performance metrics like Straight Through Processing (STP) rates.
- Regulatory & Compliance Context: Familiarity with RBI guidelines regarding algorithmic credit decisions, model risk management, explainability requirements, and cloud data localisation constraints.
Mindset & Core Traits
- Architectural Inquiry: Driven by deep curiosity about how entire systems fit together, possessing the precise sequence of targeted questions that uncover how a client’s engine actually operates beneath the documentation.
- Skeptical Practitioner: Operates with a healthy skepticism of stated architectures; validates system realities by analyzing deployment logs, rule histories, and exception reports rather than relying solely on official diagrams.
- Policy-to-Logic Translation: Seamlessly bridges the gap between high-level credit policy language and structured, actionable rule engine engineering specifications.
- Grounded Intellectual Humility: Explicitly understands the boundaries of personal technical knowledge, prioritizing accurate discovery and domain-expert networking over making unverified assumptions.
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4
Job Description
**About Astellas**
Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at Astellas.com ( you driven to make a real difference in the lives of patients?**
We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact.
**Purpose and Scope:**
Develop decision sciences models (e.g. simulation, optimization, machine learning etc.) to provide optimized decision recommendations to PDM functional units. Engage with stakeholders to deploy models and insights. Sustain and evolve models in alignment with changing functional needs based on latest algorithms and technologies.
**Responsibilities and Accountabilities:**
**Decision Sciences Model Build**
+ Translate business requirements into Decision Sciences model selection and specifications
+ Develop PoC/MVP to evaluate and optimize model performance (e.g. accuracy, quality of decision recommendations etc.)
+ Work with business stakeholders and data teams to validate model and generate model deployment plan
**Decision Sciences Full Stack Application Build**
+ Provides technical architecture recommendations to application developers to create full stack solution around the model.
+ Build code components to integrate model with inbound data pipelines and user interfaces.
+ Work with IT teams to ensure optimized data flow and infrastructure performance
+ Support application technical testing and roll out to business users.
**Decision Sciences Model Lifecycle Management**
+ Train business users on how to use model based applications for various decision scenarios
+ Monitor model performance on a regular basis based on business user feedback.
+ Identify and prioritize ideas for model performance improvement.
+ Roll out new versions of model and applications with SDLC framework.
**New Capabilities & Benchmarking**
+ Continuously monitor latest algorithmic developments by scanning publications, conferences etc.
+ Run small experiments with new generations of algorithms to evaluate them.
+ Identify promising models for application to Astellas use cases specifically relating to supply chain management, manufacturing & logistics
**Required Qualifications:**
**Education**
+ Master's degree in Industrial, Systems or other Engineering disciplines with focus on Operations Research
**Experience**
+ 3-7 years of experience in applying OR/decision sciences models to applications in supply chain
+ Experience in manufacturing, logistics, or global supply chain environments (especially related to pharmaceuticals or healthcare) is an advantage.
**Technical Skills**
+ Strong proficiency in large scale mathematical optimization (e.g. integer programming, non-linear programming etc.), discrete event simulation, time series models, machine learning etc.
+ Strong proficiency in Python (advanced) and SQL. Hands on coding experience is a must
+ Strong proficiency with open source optimization libraries such as Pyomo and commercial solvers such as Gurobi or Cplex
+ Experience with open source or commercial discrete event simulation packages such as Simio, Anylogic etc.
+ Experience with data platforms such as databricks, snowflake etc.
+ Experience in integration of LLM APIs (e.g. GPT) within applications is a plus
+ Familiarity with ERP systems (e.g., SAP) and supply chain planning tools (e.g. IBP)
+ Understanding of end-to-end supply chain processes (planning, procurement, manufacturing, logistics).
**Soft Skills**
+ Strong ability to operate in complex business environments and translate requirements into technical specifications.
+ Strong desire to upskill business and financial acumen to understand the link between analytical insights and business performance.
+ Excellent communication and stakeholder management abilities.
+ Ability to work independently and collaboratively across regions and time zones.
**What awaits you at Astellas?**
+ Global collaboration: Become part of a connected global business of like-minded life science leaders, all dedicated to improving patients' lives worldwide.
+ Real-world patient impact: Contribute to transformative therapies that reach patients around the world, knowing your work makes a difference every day
+ Relentless Innovation: Join a company at the forefront of scientific breakthroughs, where you'll have the opportunity to shape the future of healthcare.
+ A Culture of Growth: Chart your own course within a supportive environment that values your contributions, champions your development, and empowers you to pursue your passions.
**Our Organizational Values and Behaviors**
**Values:** _Innovation, Integrity_ and _Impact_ sit at the heart of what we do.
**Behaviors:** We come together as _'One Astellas'_ , working with _courage_ and a _sense of urgency_ . We are _outcome focused_ and consistently take _accountability_ for our personal contribution.
Category CMfgO Office
Astellas is committed to equality of opportunity in all aspects of employment.
EOE including Disability/Protected Veterans
Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at Astellas.com ( you driven to make a real difference in the lives of patients?**
We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact.
**Purpose and Scope:**
Develop decision sciences models (e.g. simulation, optimization, machine learning etc.) to provide optimized decision recommendations to PDM functional units. Engage with stakeholders to deploy models and insights. Sustain and evolve models in alignment with changing functional needs based on latest algorithms and technologies.
**Responsibilities and Accountabilities:**
**Decision Sciences Model Build**
+ Translate business requirements into Decision Sciences model selection and specifications
+ Develop PoC/MVP to evaluate and optimize model performance (e.g. accuracy, quality of decision recommendations etc.)
+ Work with business stakeholders and data teams to validate model and generate model deployment plan
**Decision Sciences Full Stack Application Build**
+ Provides technical architecture recommendations to application developers to create full stack solution around the model.
+ Build code components to integrate model with inbound data pipelines and user interfaces.
+ Work with IT teams to ensure optimized data flow and infrastructure performance
+ Support application technical testing and roll out to business users.
**Decision Sciences Model Lifecycle Management**
+ Train business users on how to use model based applications for various decision scenarios
+ Monitor model performance on a regular basis based on business user feedback.
+ Identify and prioritize ideas for model performance improvement.
+ Roll out new versions of model and applications with SDLC framework.
**New Capabilities & Benchmarking**
+ Continuously monitor latest algorithmic developments by scanning publications, conferences etc.
+ Run small experiments with new generations of algorithms to evaluate them.
+ Identify promising models for application to Astellas use cases specifically relating to supply chain management, manufacturing & logistics
**Required Qualifications:**
**Education**
+ Master's degree in Industrial, Systems or other Engineering disciplines with focus on Operations Research
**Experience**
+ 3-7 years of experience in applying OR/decision sciences models to applications in supply chain
+ Experience in manufacturing, logistics, or global supply chain environments (especially related to pharmaceuticals or healthcare) is an advantage.
**Technical Skills**
+ Strong proficiency in large scale mathematical optimization (e.g. integer programming, non-linear programming etc.), discrete event simulation, time series models, machine learning etc.
+ Strong proficiency in Python (advanced) and SQL. Hands on coding experience is a must
+ Strong proficiency with open source optimization libraries such as Pyomo and commercial solvers such as Gurobi or Cplex
+ Experience with open source or commercial discrete event simulation packages such as Simio, Anylogic etc.
+ Experience with data platforms such as databricks, snowflake etc.
+ Experience in integration of LLM APIs (e.g. GPT) within applications is a plus
+ Familiarity with ERP systems (e.g., SAP) and supply chain planning tools (e.g. IBP)
+ Understanding of end-to-end supply chain processes (planning, procurement, manufacturing, logistics).
**Soft Skills**
+ Strong ability to operate in complex business environments and translate requirements into technical specifications.
+ Strong desire to upskill business and financial acumen to understand the link between analytical insights and business performance.
+ Excellent communication and stakeholder management abilities.
+ Ability to work independently and collaboratively across regions and time zones.
**What awaits you at Astellas?**
+ Global collaboration: Become part of a connected global business of like-minded life science leaders, all dedicated to improving patients' lives worldwide.
+ Real-world patient impact: Contribute to transformative therapies that reach patients around the world, knowing your work makes a difference every day
+ Relentless Innovation: Join a company at the forefront of scientific breakthroughs, where you'll have the opportunity to shape the future of healthcare.
+ A Culture of Growth: Chart your own course within a supportive environment that values your contributions, champions your development, and empowers you to pursue your passions.
**Our Organizational Values and Behaviors**
**Values:** _Innovation, Integrity_ and _Impact_ sit at the heart of what we do.
**Behaviors:** We come together as _'One Astellas'_ , working with _courage_ and a _sense of urgency_ . We are _outcome focused_ and consistently take _accountability_ for our personal contribution.
Category CMfgO Office
Astellas is committed to equality of opportunity in all aspects of employment.
EOE including Disability/Protected Veterans
Is this job a match or a miss?
Apply Now
5
Sr. Data Scientist - Analytics Applications & Decision Support
Hyderabad
Amgen
Posted 6 days ago
Job Viewed
Job Description
**ABOUT AMGEN**
Amgen harnesses the best of biology and technology to fight the world's toughest diseases and make people's lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what is known today.
**ABOUT THE ROLE**
**Role Description**
Global Supply Chain (GSC) is accountable for orchestrating end-to-end supply chain strategies and operations that ensure reliable, timely delivery of medicines to patients - powered by data, innovation, and enterprise-wide collaboration.
As part of our team expansion at Amgen India, Global Supply Chain is seeking a **Sr. Data Scientist - Analytics Applications & Decision Support** to rapidly prototype, build, and deliver user-facing analytics applications, interactive decision-support tools, and visual analytics experiences for clinical and commercial supply chain processes.
This role will combine data science, front-end analytics application development, visualization, cloud technologies, API integration, and product-oriented delivery. The ideal candidate is a versatile technical data scientist who can translate business concepts into intuitive working solutions, build interactive user experiences, contribute across front-end and back-end components when needed, and create practical tools that improve supply chain visibility, decision-making, and operational execution.
**ROLES & RESPONSIBILITIES**
Responsibilities will include, but are not limited to:
+ **Rapid prototyping and analytics application development:** Quickly translate business concepts, scientific questions, and product ideas into working prototypes, interactive analytics applications, and user-facing decision-support tools.
+ **Decision-support and visual analytics delivery:** Build a wide range of data and analytics solutions, from descriptive to prescriptive analytics, including dashboards, visual analytics, interactive interfaces, and decision-support tools.
+ **Front-end analytics application development:** Design and build intuitive user interfaces, visual workflows, and interactive components for analytics applications using modern front-end and visualization technologies.
+ **Technical documentation and solution clarity:** Create and maintain clear technical documentation, including solution design, software architecture, data flows, API specifications, implementation details, and key design decisions.
+ **Technical problem-solving and delivery execution** : Identify, troubleshoot, and resolve technical challenges effectively while balancing speed, quality, maintainability, risk, and long-term scalability.
+ **Technology evaluation and learning agility:** Stay current with technology trends, cloud capabilities, analytics application frameworks, visualization tools, front-end technologies, and engineering practices; assess options and make informed technology recommendations based on business value, technical fit, and implementation impact.
+ **Product and module ownership:** Develop a strong understanding of the overall product, its modules, dependencies, data flows, user workflows, and interface touchpoints while serving as a technical expert for assigned components or solution areas.
+ **Cross-functional collaboration and stakeholder partnership:** Work closely with product teams, business teams, architecture teams, technology teams, UX partners, data teams, stakeholders, and subject-matter experts to deliver practical, scientific, user-centered, data-driven solutions aligned with enterprise standards.
+ **Requirements translation and Agile delivery:** Synthesize business, scientific, user experience, and technical inputs into prioritized features, user stories, acceptance criteria, and delivery plans; actively participate in Agile ceremonies, including sprint planning, backlog refinement, estimation, demos, and retrospectives.
**FUNCTIONAL SKILLS**
**Must-Have Skills**
+ Hands-on experience with cloud services and well-architected cloud design principles, with the ability to evaluate tradeoffs across different cloud solution options.
+ Experience developing dashboards, visual analytics, interactive decision-support tools, or user-facing analytics applications using technologies such as React, JavaScript/TypeScript, Posit/Shiny, Plotly Dash, Streamlit, Power BI, Tableau, or similar tools.
+ Hands-on experience building analytics applications that include user interfaces, APIs, data pipelines, and integration with structured or unstructured data sources.
+ Strong proficiency in Python and SQL, with working knowledge of JavaScript/TypeScript, React, Node.js, REST or GraphQL APIs, and SQL/NoSQL databases.
+ Ability to translate business, scientific, and analytical requirements into intuitive user experiences, visual workflows, dashboards, and interactive decision-support interfaces.
+ Experience applying analytics, data science, visualization, or decision-support tools to supply chain use cases, with a solid understanding of supply chain management principles and complex business problem-solving.
+ Familiarity with pharma or life sciences compliance requirements, including GxP, HIPAA, or related expectations, is a plus.
Amgen harnesses the best of biology and technology to fight the world's toughest diseases and make people's lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what is known today.
**ABOUT THE ROLE**
**Role Description**
Global Supply Chain (GSC) is accountable for orchestrating end-to-end supply chain strategies and operations that ensure reliable, timely delivery of medicines to patients - powered by data, innovation, and enterprise-wide collaboration.
As part of our team expansion at Amgen India, Global Supply Chain is seeking a **Sr. Data Scientist - Analytics Applications & Decision Support** to rapidly prototype, build, and deliver user-facing analytics applications, interactive decision-support tools, and visual analytics experiences for clinical and commercial supply chain processes.
This role will combine data science, front-end analytics application development, visualization, cloud technologies, API integration, and product-oriented delivery. The ideal candidate is a versatile technical data scientist who can translate business concepts into intuitive working solutions, build interactive user experiences, contribute across front-end and back-end components when needed, and create practical tools that improve supply chain visibility, decision-making, and operational execution.
**ROLES & RESPONSIBILITIES**
Responsibilities will include, but are not limited to:
+ **Rapid prototyping and analytics application development:** Quickly translate business concepts, scientific questions, and product ideas into working prototypes, interactive analytics applications, and user-facing decision-support tools.
+ **Decision-support and visual analytics delivery:** Build a wide range of data and analytics solutions, from descriptive to prescriptive analytics, including dashboards, visual analytics, interactive interfaces, and decision-support tools.
+ **Front-end analytics application development:** Design and build intuitive user interfaces, visual workflows, and interactive components for analytics applications using modern front-end and visualization technologies.
+ **Technical documentation and solution clarity:** Create and maintain clear technical documentation, including solution design, software architecture, data flows, API specifications, implementation details, and key design decisions.
+ **Technical problem-solving and delivery execution** : Identify, troubleshoot, and resolve technical challenges effectively while balancing speed, quality, maintainability, risk, and long-term scalability.
+ **Technology evaluation and learning agility:** Stay current with technology trends, cloud capabilities, analytics application frameworks, visualization tools, front-end technologies, and engineering practices; assess options and make informed technology recommendations based on business value, technical fit, and implementation impact.
+ **Product and module ownership:** Develop a strong understanding of the overall product, its modules, dependencies, data flows, user workflows, and interface touchpoints while serving as a technical expert for assigned components or solution areas.
+ **Cross-functional collaboration and stakeholder partnership:** Work closely with product teams, business teams, architecture teams, technology teams, UX partners, data teams, stakeholders, and subject-matter experts to deliver practical, scientific, user-centered, data-driven solutions aligned with enterprise standards.
+ **Requirements translation and Agile delivery:** Synthesize business, scientific, user experience, and technical inputs into prioritized features, user stories, acceptance criteria, and delivery plans; actively participate in Agile ceremonies, including sprint planning, backlog refinement, estimation, demos, and retrospectives.
**FUNCTIONAL SKILLS**
**Must-Have Skills**
+ Hands-on experience with cloud services and well-architected cloud design principles, with the ability to evaluate tradeoffs across different cloud solution options.
+ Experience developing dashboards, visual analytics, interactive decision-support tools, or user-facing analytics applications using technologies such as React, JavaScript/TypeScript, Posit/Shiny, Plotly Dash, Streamlit, Power BI, Tableau, or similar tools.
+ Hands-on experience building analytics applications that include user interfaces, APIs, data pipelines, and integration with structured or unstructured data sources.
+ Strong proficiency in Python and SQL, with working knowledge of JavaScript/TypeScript, React, Node.js, REST or GraphQL APIs, and SQL/NoSQL databases.
+ Ability to translate business, scientific, and analytical requirements into intuitive user experiences, visual workflows, dashboards, and interactive decision-support interfaces.
+ Experience applying analytics, data science, visualization, or decision-support tools to supply chain use cases, with a solid understanding of supply chain management principles and complex business problem-solving.
+ Familiarity with pharma or life sciences compliance requirements, including GxP, HIPAA, or related expectations, is a plus.
Is this job a match or a miss?
Apply Now
6
Sr Product Manager - Operational Digital Twin and Decision Intelligence
Bangalore
Target
Posted 3 days ago
Job Viewed
Job Description
**About us:**
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is
important, and you'll build relationships by being authentic and respectful.
As we accelerate our enterprise AI and automation strategy, we are investing in intelligent platforms that bridge the physical and digital worlds, enabling better decisions, greater operational efficiency, and new AI-powered capabilities across the enterprise.
**Team overview:**
The **Automation Platform team** is building the next generation of intelligence platforms that transform how Target understands, operates, and optimizes its physical environments. We are seeking a Senior Product Manager to lead the discovery, strategy, and execution of Target's Operational Digital Twin platform.
**Role overview:**
As the **Sr Product Manager for Operational Digital Twin and Decision Intelligence** , you will own the product vision, strategy, discovery, and execution for a new platform capability that helps Target understand, optimize, and automate physical operations.
At the core of this capability is an **Operational Digital Twin** -a dynamic digital representation of Target's stores, supply chain facilities, assets, inventory, equipment, and workflows. By integrating signals from IoT devices, sensors, computer vision systems, enterprise applications, and operational technologies, the platform provides near real-time visibility into operational performance and generates intelligence that improves decision making.
Your mission is to transform operational signals into operational intelligence and decision intelligence that improve efficiency, execution, and business outcomes across Target's physical operations.
Your initial focus will be to define the North Star vision, identify and validate high-value use cases, launch pilot solutions, and establish the platform foundation required to scale from 0→1 incubation to enterprise adoption.
**Strategic Context**
This role contributes to four strategic outcomes:
+ **Operational Digital Twin** - Creating a digital representation of physical operations.
+ **Operational Intelligence** - Understanding what is happening across operations.
+ **Decision Intelligence** - Improving operational decisions through data and AI.
+ **Autonomous Operations** - Enabling increasingly AI-assisted operational workflows.
**What You'll Do**
**Define Product Strategy and Roadmap**
+ Define and execute the vision, strategy, and roadmap for Target's Operational Digital Twin platform.
+ Establish the North Star vision and multi-year roadmap for Operational Intelligence and Decision Intelligence capabilities.
+ Drive investments that improve operational efficiency, decision quality, and business outcomes.
+ Partner with stakeholders across Stores, Supply Chain, Asset Protection, Facilities, Operations, and Technology to prioritize opportunities.
**Discover, Validate, and Deliver**
+ Evaluate Digital Twin, IoT, Computer Vision, Spatial Intelligence, and AI technologies to identify opportunities relevant to Target.
+ Conduct customer discovery, operational observations, and data analysis to identify and validate high-value use cases.
+ Develop business cases, pilot proposals, and investment recommendations.
+ Launch pilots and proof-of-concepts that demonstrate measurable business value.
+ Define and deliver foundational platform capabilities that create a unified view of assets, facilities, inventory, equipment, and operational workflows.
**Build Operational and Decision Intelligence**
+ Transform operational signals into actionable insights, recommendations, and decision support capabilities.
+ Partner with engineering, AI/ML, computer vision, IoT, and data science teams to build scalable intelligence services.
+ Develop capabilities that identify operational risks, inefficiencies, bottlenecks, and optimization opportunities.
+ Improve the speed, consistency, and quality of operational decision making.
+ Establish the foundation for future AI-assisted and autonomous operational workflows.
**Lead Cross-Functional Execution**
+ Own product prioritization, roadmap planning, and execution.
+ Collaborate closely with engineering, data science, UX, security, privacy, and enterprise architecture teams.
+ Ensure solutions meet Target standards for governance, privacy, security, and responsible AI.
+ Drive stakeholder alignment, product adoption, and measurable business impact.
**Success Measures**
**Discovery & Platform Growth**
+ High-value use cases identified and validated.
+ Business cases approved for investment.
+ Successful pilots launched and expanded.
+ Growth in operational assets, environments, and data sources connected to the platform.
**Operational Digital Twin Impact**
+ Increased visibility into operational performance across stores and supply chain facilities.
+ Creation of reusable Digital Twin models and intelligence capabilities.
+ Identification of operational bottlenecks, risks, and optimization opportunities.
**Decision Intelligence Impact**
+ Improved speed and quality of operational decisions.
+ Adoption of predictive insights and recommendation capabilities.
+ Measurable business value generated through intelligence-driven recommendations.
+ Expansion of AI-assisted operational workflows.
**About You:**
+ 10+ years of Product Management experience building enterprise software, platforms, AI products, analytics solutions, operational technologies, or data-driven products.
+ Demonstrated success leading 0→1 product discovery and bringing new platform capabilities to market.
+ Experience conducting customer discovery, opportunity assessment, and strategic product planning.
+ Experience partnering with engineering, AI/ML, computer vision, IoT, data science, and analytics teams.
+ Strong understanding of operational systems, supply chain operations, store operations, industrial technologies, or enterprise platforms.
+ Excellent communication, stakeholder management, and influence skills.
+ Strong analytical, customer-centric, and strategic thinking capabilities.
**Preferred Qualifications**
+ Experience with Operational Digital Twins, Operational Intelligence, IoT platforms, Computer Vision, Spatial Intelligence, Decision Intelligence, or Industrial AI solutions.
+ Experience evaluating vendors, emerging technologies, and platform ecosystems.
+ Experience leading proof-of-concept and pilot initiatives.
+ Experience building platform products in large-scale enterprise environments.
**Why Join Us**
This is an opportunity to own a strategic product area that will shape how Target understands and operates its physical world.
You will define the vision, validate the opportunities, and build the foundation for Target's Operational Digital Twin platform. The capabilities you create will help teams understand operations in real time, make better decisions, and enable the next generation of AI-assisted operational experiences.
The platform you build will transform operational signals into decision intelligence, helping Target become a more intelligent, predictive, and AI-enabled enterprise.
**Useful Links:**
+ Life at Target- Benefits- Culture-
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is
important, and you'll build relationships by being authentic and respectful.
As we accelerate our enterprise AI and automation strategy, we are investing in intelligent platforms that bridge the physical and digital worlds, enabling better decisions, greater operational efficiency, and new AI-powered capabilities across the enterprise.
**Team overview:**
The **Automation Platform team** is building the next generation of intelligence platforms that transform how Target understands, operates, and optimizes its physical environments. We are seeking a Senior Product Manager to lead the discovery, strategy, and execution of Target's Operational Digital Twin platform.
**Role overview:**
As the **Sr Product Manager for Operational Digital Twin and Decision Intelligence** , you will own the product vision, strategy, discovery, and execution for a new platform capability that helps Target understand, optimize, and automate physical operations.
At the core of this capability is an **Operational Digital Twin** -a dynamic digital representation of Target's stores, supply chain facilities, assets, inventory, equipment, and workflows. By integrating signals from IoT devices, sensors, computer vision systems, enterprise applications, and operational technologies, the platform provides near real-time visibility into operational performance and generates intelligence that improves decision making.
Your mission is to transform operational signals into operational intelligence and decision intelligence that improve efficiency, execution, and business outcomes across Target's physical operations.
Your initial focus will be to define the North Star vision, identify and validate high-value use cases, launch pilot solutions, and establish the platform foundation required to scale from 0→1 incubation to enterprise adoption.
**Strategic Context**
This role contributes to four strategic outcomes:
+ **Operational Digital Twin** - Creating a digital representation of physical operations.
+ **Operational Intelligence** - Understanding what is happening across operations.
+ **Decision Intelligence** - Improving operational decisions through data and AI.
+ **Autonomous Operations** - Enabling increasingly AI-assisted operational workflows.
**What You'll Do**
**Define Product Strategy and Roadmap**
+ Define and execute the vision, strategy, and roadmap for Target's Operational Digital Twin platform.
+ Establish the North Star vision and multi-year roadmap for Operational Intelligence and Decision Intelligence capabilities.
+ Drive investments that improve operational efficiency, decision quality, and business outcomes.
+ Partner with stakeholders across Stores, Supply Chain, Asset Protection, Facilities, Operations, and Technology to prioritize opportunities.
**Discover, Validate, and Deliver**
+ Evaluate Digital Twin, IoT, Computer Vision, Spatial Intelligence, and AI technologies to identify opportunities relevant to Target.
+ Conduct customer discovery, operational observations, and data analysis to identify and validate high-value use cases.
+ Develop business cases, pilot proposals, and investment recommendations.
+ Launch pilots and proof-of-concepts that demonstrate measurable business value.
+ Define and deliver foundational platform capabilities that create a unified view of assets, facilities, inventory, equipment, and operational workflows.
**Build Operational and Decision Intelligence**
+ Transform operational signals into actionable insights, recommendations, and decision support capabilities.
+ Partner with engineering, AI/ML, computer vision, IoT, and data science teams to build scalable intelligence services.
+ Develop capabilities that identify operational risks, inefficiencies, bottlenecks, and optimization opportunities.
+ Improve the speed, consistency, and quality of operational decision making.
+ Establish the foundation for future AI-assisted and autonomous operational workflows.
**Lead Cross-Functional Execution**
+ Own product prioritization, roadmap planning, and execution.
+ Collaborate closely with engineering, data science, UX, security, privacy, and enterprise architecture teams.
+ Ensure solutions meet Target standards for governance, privacy, security, and responsible AI.
+ Drive stakeholder alignment, product adoption, and measurable business impact.
**Success Measures**
**Discovery & Platform Growth**
+ High-value use cases identified and validated.
+ Business cases approved for investment.
+ Successful pilots launched and expanded.
+ Growth in operational assets, environments, and data sources connected to the platform.
**Operational Digital Twin Impact**
+ Increased visibility into operational performance across stores and supply chain facilities.
+ Creation of reusable Digital Twin models and intelligence capabilities.
+ Identification of operational bottlenecks, risks, and optimization opportunities.
**Decision Intelligence Impact**
+ Improved speed and quality of operational decisions.
+ Adoption of predictive insights and recommendation capabilities.
+ Measurable business value generated through intelligence-driven recommendations.
+ Expansion of AI-assisted operational workflows.
**About You:**
+ 10+ years of Product Management experience building enterprise software, platforms, AI products, analytics solutions, operational technologies, or data-driven products.
+ Demonstrated success leading 0→1 product discovery and bringing new platform capabilities to market.
+ Experience conducting customer discovery, opportunity assessment, and strategic product planning.
+ Experience partnering with engineering, AI/ML, computer vision, IoT, data science, and analytics teams.
+ Strong understanding of operational systems, supply chain operations, store operations, industrial technologies, or enterprise platforms.
+ Excellent communication, stakeholder management, and influence skills.
+ Strong analytical, customer-centric, and strategic thinking capabilities.
**Preferred Qualifications**
+ Experience with Operational Digital Twins, Operational Intelligence, IoT platforms, Computer Vision, Spatial Intelligence, Decision Intelligence, or Industrial AI solutions.
+ Experience evaluating vendors, emerging technologies, and platform ecosystems.
+ Experience leading proof-of-concept and pilot initiatives.
+ Experience building platform products in large-scale enterprise environments.
**Why Join Us**
This is an opportunity to own a strategic product area that will shape how Target understands and operates its physical world.
You will define the vision, validate the opportunities, and build the foundation for Target's Operational Digital Twin platform. The capabilities you create will help teams understand operations in real time, make better decisions, and enable the next generation of AI-assisted operational experiences.
The platform you build will transform operational signals into decision intelligence, helping Target become a more intelligent, predictive, and AI-enabled enterprise.
**Useful Links:**
+ Life at Target- Benefits- Culture-
Is this job a match or a miss?
Apply Now
7
Job Description
Relocation Assistance Offered Within Country
Job Number # - Mumbai, Maharashtra, India
**Who We Are**
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
**Brief introduction - Role Summary/Purpose :**
+ Leading the digital transformation of supply chain planning, you will be at the forefront of configuring and optimizing the Kinaxis Maestro platform to drive operational excellence. Owning the technical setup and project delivery, you will directly influence planning processes and business success across global teams. As a key problem solver, you'll develop creative solutions and modernize supply chain operations. This role can be based at our main office or offers flexibility for remote collaboration.
**Responsibilities :**
+ Own the end-to-end design, configuration, and implementation of Kinaxis Maestro modules such as Master Planning, Demand Planning, Supply Planning, Inventory Optimization, and Sales & Operations Planning (S&OP).
+ Develop, model, and integrate data flows, custom scripts, and system interfaces to ensure high-quality, efficient operations.
+ Collaborate cross-functionally with business and technical teams to deliver successful projects, troubleshoot issues, and support users.
+ Lead and facilitate workshops, deliver user training sessions, and maintain stakeholder communication regarding project status and progress.
+ Proactively identify and implement system improvements, staying abreast of the latest Kinaxis advancements to maximize business value.
+ Maintain clear and up-to-date technical documentation for solutions and workflows.
**Required Qualifications:**
+ Bachelor's degree in Engineering, Information Technology, Operations Management, or related field.
+ 3-4 years of experience in IT roles including collecting business requirements, developing, configuring, and implementing/planning applications (such as Kinaxis, SAP APO, IBP).
+ Hands-on expertise in Kinaxis Maestro platform functionalities, data modeling, integration, custom scripting, and support.
+ Proficiency in project management principles and cross-functional team collaboration.
+ Excellent written and verbal communication skills, with the ability to translate complex technical concepts into business terms.
**Preferred Qualifications:**
+ Certifications: Kinaxis Author or Solution Consultant Level 1 or higher.
+ Familiarity with SAP ECC/S4, APO systems, and advanced supply chain planning concepts.
+ Proven ability to drive system enhancements, adopt new technologies, and deliver innovative solutions.
+ Strong adaptability, problem-solving, and analytical skills; thrives in fast-changing, multicultural environments.
+ Desire to stay current with the latest advancements in supply chain planning technology and processes.
**Our Commitment to Inclusion**
Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
**Equal Opportunity Employer**
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form ( should you require accommodation.
\#LI-Hybrid
Job Number # - Mumbai, Maharashtra, India
**Who We Are**
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
**Brief introduction - Role Summary/Purpose :**
+ Leading the digital transformation of supply chain planning, you will be at the forefront of configuring and optimizing the Kinaxis Maestro platform to drive operational excellence. Owning the technical setup and project delivery, you will directly influence planning processes and business success across global teams. As a key problem solver, you'll develop creative solutions and modernize supply chain operations. This role can be based at our main office or offers flexibility for remote collaboration.
**Responsibilities :**
+ Own the end-to-end design, configuration, and implementation of Kinaxis Maestro modules such as Master Planning, Demand Planning, Supply Planning, Inventory Optimization, and Sales & Operations Planning (S&OP).
+ Develop, model, and integrate data flows, custom scripts, and system interfaces to ensure high-quality, efficient operations.
+ Collaborate cross-functionally with business and technical teams to deliver successful projects, troubleshoot issues, and support users.
+ Lead and facilitate workshops, deliver user training sessions, and maintain stakeholder communication regarding project status and progress.
+ Proactively identify and implement system improvements, staying abreast of the latest Kinaxis advancements to maximize business value.
+ Maintain clear and up-to-date technical documentation for solutions and workflows.
**Required Qualifications:**
+ Bachelor's degree in Engineering, Information Technology, Operations Management, or related field.
+ 3-4 years of experience in IT roles including collecting business requirements, developing, configuring, and implementing/planning applications (such as Kinaxis, SAP APO, IBP).
+ Hands-on expertise in Kinaxis Maestro platform functionalities, data modeling, integration, custom scripting, and support.
+ Proficiency in project management principles and cross-functional team collaboration.
+ Excellent written and verbal communication skills, with the ability to translate complex technical concepts into business terms.
**Preferred Qualifications:**
+ Certifications: Kinaxis Author or Solution Consultant Level 1 or higher.
+ Familiarity with SAP ECC/S4, APO systems, and advanced supply chain planning concepts.
+ Proven ability to drive system enhancements, adopt new technologies, and deliver innovative solutions.
+ Strong adaptability, problem-solving, and analytical skills; thrives in fast-changing, multicultural environments.
+ Desire to stay current with the latest advancements in supply chain planning technology and processes.
**Our Commitment to Inclusion**
Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
**Equal Opportunity Employer**
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form ( should you require accommodation.
\#LI-Hybrid
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