7,033 Data Driven jobs in India

What you will do

• Support development, delivery, and sustainment of interactive reports, dashboards and visualization solutions which communicate key performance indicators (KPIs) and other metrics to stakeholders.
• Perform requirements definition and translation into data driven solutions and support development, testing, analysis and ad-hoc reporting as requested.
• Gather, cleanse, and analyze data from various sources to enable improved analytics and insight generation.
• Manage data model updates to support business analysis and decision-making.
• Identify trends, patterns and anomalies in data to help predict future outcomes, inform strategic choices and improve decision making.
• Maintain documentation for data processes, models, reports and analytics to ensure clarity, consistency and sustained cost effective stewardship of delivered solutions.
• Drive data governance framework and/or support data governance program execution, working closely with Supply Chain teams (, Data Owners, Data Stewards) to achieve key data governance outcomes
• Develop and steward data literacy program efforts for Supply Chain
• Develop and monitor metrics for data improvement opportunities

About You

Skills and Qualifications

Works closely with Product Management on planning and prioritization of deliverables

Has experience translating business requirements into new data-driven solutions

Has experience with Agile work management tools for planning and reporting

Has knowledge of (proficiency in) agile development practices

Solid understand of data management and data governance principles

Strong domain knowledge in data, analytics and process mining capabilities and/or in network modeling (optimization, simulation) and advanced analytics (statistics, machine learning, Generative AI) capabilities

Your benefits

An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: 

Competitive compensation 

Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits 

Retirement benefits 

Global networking & cross-functional opportunities

Annual vacations & holidays

Day care assistance program

Training and development program

Tuition assistance program

Workplace flexibility policy

Relocation program

Transportation facility

Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines.

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EEO Statement

Role: **Data Management Manager**
**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's known today.
**ABOUT THE ROLE**
**Role Description:**
The Commercial Data Management Manager will be responsible for managing the execution of the Data Platforms Operations in partnership with the Technology team, driving continuous innovation, operational excellence, and cost efficiencies. The manager will oversee execution of features aligned with one or more of our Data Platform product teams and work with the global team and functional partners to implement additional capabilities to the platform aligned with business objectives. Also, the manager will partner with the Senior Manager, Data Platforms to initially focus on the transition efforts from the vendor teams, building a highly talented and data-focused team in our Innovation Center in India. You will also be responsible for partnering with our Amgen Technology partners and peer teams in the US and India to plan, design and implement large and strategic Data enabling programs.
**Roles & Responsibilities:**
**Execution of Data-Enabling Features in Product Teams**
+ Lead and oversee prioritization, execution and deployment of features in one of our Commercial Data Platforms Product teams aligned with standard operating procedures
+ Lead various stages of SDLC as a member of the Data Management Operations teams - including requirements gathering sessions with stakeholders across the US Commercial Organization (including Incentive Compensation, Field Reporting, Forecasting, Secondary Analytics), design, testing and documentation in partnership with the Technology teams in a Product Team setting.
+ Partner with peer teams in the US and technology teams to review requests, design solutions, estimate effort and prioritize requests in assigned Product backlog
+ Communicate with stakeholders through various stages of the SDLC and ensure alignment with stakeholders, and management on effort, solution, timelines and expectations
+ Accountable for ensuring governance processes are followed and appropriate system testing, User Accepting Testing (UAT) are done and documentation is set up to ensure traceability through the lifecycle of deployment
+ Responsible for working with syndicated data sets including IQVIA data - DDD, Xponent, ELAAD, etc., Digital Marketing data sets including Patient and Physician level data sets and internal data sets like HR data, Call Activity data from CRM systems, Patient Hub data to set up and enable HCP & Patient centric connected data sets for our stakeholders
+ Build connected data products for Amgen's Commercial Data and Analytics function leveraging data sets mentioned above that enable insights around Prescriber & Patient behaviour & engagement patterns to support more efficient targeting algorithms
+ Manage the Big Data platform infrastructure (Built on AWS tech / Airflow for Data storage and orchestration and Databricks for processing) - including access to the platform, platform costs, ad hoc capabilities for users, data quality, etc.
+ Partner with the US teams and Technology teams to evaluate and implement tools and technologies to support the future state of the platform including Automated Anomaly detection, Automated document generation, Bots against data, Searchability of data assets, LLM models on data and documents and other Gen AI capabilities
+ Partner with the Technology teams and direct line management to implement processes to monitor system health, set up alerts for anomalies and implement steps to proactively remediate areas of concern on the infrastructure front
+ Partner with peers across our four pillars - Master Data Management, Data Platforms, Patient Data Management, Data Acquisition & Governance to ensure alignment on solutions implemented for stakeholders
+ Identify and highlight roadblocks, process gaps, and resourcing needs to the Leadership team as part of continuous improvement efforts.
+ Identify opportunities for continuous improvement and highlight to direct line management and strategize roadmap for deployment
**Manage Work Transition and Insourcing**
+ In partnership with the Senior Manager Data Platforms, develop and oversee transition plans to migrate work to our Amgen India Innovation Center with minimal disruption and develop standard processes for onboarding peers and broader team.
+ Execute on the insourcing of our Operational Data Management Services currently delivered by external vendors, ensuring appropriate knowledge transfer, risk mitigation, and operational readiness.
+ Build robust repository of knowledge transition documents and set up processes for efficient operations within a global team framework
**Facilitate Cross-Team and Organizational Engagement and Alignment**
+ Partner closely with peers in Commercial Data Strategy core pillars and Data Management Senior Manager to contribute to delivering against our priority initiatives and establish new ways of working, especially across time zones.
+ Work with our Technology/IT partners and the US team members in Product Team setting and partner with other Product teams to ensure deliverables are aligned with the Platform governance model
+ Act as a liaison between at our Amgen India Innovation Center with other Customer Data & Analytics Teams to ensure alignment on goals, processes, and success measures.
**Basic Qualifications and Experience:**
+ Master's degree and 4 to 6 years of data management experience OR
+ Bachelor's degree and 8 to 10 years of relevant data management experience
+ Proven experience in working in global teams and across time zones and cultures
+ Proven experience in working in Product teams and delivering high quality solution in adherence with established processes
+ Strong leadership, stakeholder management, and communication skills.
+ Excellent English oral and written communication.
**Functional Skills:**
**Must-Have Skills:**
+ Prior experience and success working in high-performing data management teams, with clear demonstrations of collaboration, innovation, and continuous improvement.
+ Prior experience leading and supporting Data Platforms Operations - including executing in Agile Product teams, overseeing phased execution of Platform enhancements and innovations
+ Prior experience in executing in major data transformation projects with global teams, including core teams located in India.
+ Prior experience in data architecture and data flow design, data modelling and in data profiling
+ Prior hands-on experience and expertise in technologies such as AWS and Databricks with ability to dig into problem statements and partner with teams in Root cause analysis and in planning and implementing long term remediation
+ Hands-on experience with data analysis using tools and technologies like SQL, Python, R, etc.
+ Prior experience in partnering with stakeholders and technology teams in solution design for small features as well as complex large programs
+ Quick learning agility to understand new concepts such as our end-to-end Commercial data flows to identify and remediate interdependencies.
+ Collaborate with peers, India leadership team and peer teams in the USA to stay ahead of industry trends, best practices, and emerging technologies in data acquisition and build multi-year forward looking Data platform roadmaps.
+ Alignment with best practices and a commitment to championing new and innovative methodologies and tools to enhance data strategies and solutions to drive business outcomes.
**Good-to-Have Skills:**
+ Experience working in the life sciences commercial data domain space, ideally in the areas of Data Platforms and Patient Data.
+ Understanding of the syndicated commercial data sets and use cases
+ Worked in multinational settings with teams from different countries.
+ Basic understanding of compliance and data privacy requirements.
+ Familiarity with and application of Scaled Agile Framework (SAFe).
**Soft Skills:**
+ Exceptional collaboration and communication skills.
+ Strong data & analytics/critical-thinking and decision-making abilities.
+ Able to perform well in a fast-paced, changing environment.
+ Strong oral, written, and presentation skills, with the ability to articulate complex concepts and controversial findings clearly and compellingly.
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**GCF Level**
GCF Level 05A
**Career Category**
Sales and Marketing Ops
**Position Type**
Full time

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge.
**Job Description**
**Job Overview:**
We are seeking a highly skilled and experienced Data Management Lead with expertise in data management principles, cloud technologies (AWS, Databricks, Informatica, etc.), software engineering practices, and system design and architecture. The ideal candidate will also have leadership experience managing a team of ~10 individuals and driving best practices in data management and engineering.
**Responsibilities:**
+ Lead and manage a data management team of ~10 members, fostering growth and collaboration.
+ Oversee the design, implementation, and maintenance of data infrastructure and pipelines.
+ Ensure adherence to data management principles, including data quality, governance, and security.
+ Utilize cloud platforms like AWS, and tools such as Databricks & Informatica for data processing and storage solutions.
+ Apply software engineering best practices, including DevOps, Infrastructure as Code (IaC), and testing automation, to streamline workflows.
+ Design scalable and robust system architectures aligned with business needs.
+ Collaborate with cross-functional stakeholders to ensure the seamless integration of data systems.
+ Monitor and optimize system performance, reliability, and cost-effectiveness.
**Skills & Qualifications:**
+ Bachelor's or Master's degree in Computer Science, Information Technology, or related fields.
+ 8+ years of experience in data management, with a strong understanding of cloud-based technologies like AWS, Databricks, and Informatica.
+ Expertise in software engineering best practices such as IaC, DevOps pipelines, and comprehensive testing methods.
+ Experience in system design & architecture, including distributed systems and integration patterns.
+ Proven ability to lead and manage a team (~10 people), fostering an inclusive and high-performance culture.
+ Strong problem-solving, communication, and stakeholder management skills.
+ Strong expertise in data integration, data modeling, and modern database technologies (Graph, SQL, No-SQL) and AWS cloud technologies
+ Extensive experience in DBA, schema design & dimensional modeling, and SQL optimization.
+ Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.
**Preferred Skills:**
+ Certifications in AWS, DevOps, Data Engineering, or related technologies.
+ Familiarity with Agile methodologies and tools.
+ Knowledge of modern data governance frameworks and strategies.
**Locations**
IND - Bengaluru
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time

Stantec is a global leader in sustainable engineering, architecture, and environmental consulting. The diverse perspectives of our partners and interested parties drive us to think beyond what's previously been done on critical issues like climate change, digital transformation, and future-proofing our cities and infrastructure. We innovate at the intersection of community, creativity, and client relationships to advance communities everywhere, so that together we can redefine what's possible. The Stantec community unites approximately 32,000 employees working in over 450 locations across 6 continents.
- Maintain employees' HR/Candidate master data to ensure accurate data is entered and verified in various employee information or finance systems (e.g. Oracle, E1, SCSM applications, SharePoint applications, ATS)
- Process routine and complex employee transactional changes, employee profile changes, or other data updates within the systems ensuring appropriate turnaround time as per defined team Service Level Agreements
- Ensure appropriate paperwork associated with the transaction change is complete with appropriate approvals prior to entering data in the systems and files the appropriate documents in the respective online folders
- Update various workload trackers to help assess and manage various projects or tasks
- Coordinate various documents for filing or uploading to other systems
- Follow data quality framework and ensure accuracy of data in employee information and financial system are in line with internal compliance protocols
- Support data related projects, as assigned
Your Capabilities and Credentials
- Critical thinking and problem-solving skills
- Excellent interpersonal, written/verbal communication skills. Fluency in English is required for this role.
- Proven organizational and time management skills with exceptional follow through. You demonstrate flexibility and dependability.
- Ability to work collaboratively in a large team across many different countries and time zones
- Strong professional customer service orientation
- Ability to manage a heavy workload with outstanding attention to detail
- Ability to exercise confidentiality, discretion, and sound judgment
- Understanding of Data management best practices and principles
- Accurate typing and data entry skills
Education and Experience
- Bachelor/Master's degree in commerce, Arts, HR or equivalent experience with HR course work is preferred.
- Proven 1-3 years of data entry or HR/Talent Acquisition working experience.
- Knowledge of software applications necessary to process documents, employee data information and analytics tools (Word, Excel, Oracle / HRIS system (Oracle is preferred), Mail Systems, and Internet). Strong Microsoft Office Suite skills with advanced Excel experience is an asset for this role.
- Experience of working in a global organization having peers/colleagues spread across the globe and being part of a larger "Human Resources" department will be very valuable.
- Basic/working knowledge of HR/Talent Acquisition practices, employee information systems, regulations, programs, and philosophies
**Primary Location:** India | Pune
**Organization:** Stantec IN Business Unit
**Employee Status:** Regular
**Travel:** No
**Schedule:** Full time
**Job Posting:** 09/09/ :09:07
**Req ID:**

Data Management Lead
**Date:** Sep 3, 2025
**Location:** Gurgaon, HR, IN,
**Company:** Corning
Requisition Number: 70723
**The company built on breakthroughs.  **
**Join us. **
Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.   
How do we do this? With our people. They break through limitations and expectations - not once in a career, but every day. They help move our company, and the world, forward.  
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.  
 Come break through with us. 
Corning's businesses are ever evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, and automotive markets. We are changing the world with:
+ Trusted products that accelerate drug discovery, development, and delivery to save lives
+ Damage-resistant cover glass to enhance the devices that keep us connected
+ Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
+ Precision glass for advanced displays to deliver richer experiences
+ Auto glass and ceramics to drive cleaner, safer, and smarter transportation.
**Role Purpose:**
- Lead business specific master data and transaction data management activities and support process governance, and maintenance for the division
- Improve the quality and manage the protection of sensitive data and information assets.
- Standardize master data management practices at the department, functional, and business levels to achieve the required level of consistency, quality, and protection to meet business and regulatory requirements and to support functional strategies.
- Coordinate cross functional master data management initiatives and interdependencies within the business
- Coordinate and align with Corporate/Enterprise data management strategies and initiatives.
**Responsibilities:**
- Data management (master and transaction) and performance: quality and timeliness
- Support establishment of, and governance activities for, Corning International sites data management and liase with other divisions for data activities required during ERP transformation in Corning International sites.
- Work with business users at Corning International sites to make data ready (cleansed and deduplicated) for SAP migration.
- Work with corporate data teams and change management teams to develop and enable better decision-making, reduced operational friction, and repeatable processes from helping the organization value and utilize information
- Provide KPIs/ metrics to measure and improve data
- Liaison between business/functional areas and IT to ensure that data related business requirements are clearly defined, communicated, well understood, and are considered as part of operational prioritization and planning
- Develop and implement data quality standards and remediation adoption requirements
- Provide progress reports on master data programs and projects
- Coordinate data sources to eliminate redundancy
- Identify new opportunities pertaining to the use of information to achieve efficiency and effectiveness - Enable improved business outcomes by applying data integrity, visibility, and accuracy
- Exercise decision authority in the business for data design and usage
- Serve as data champion for organization-wide acceptance (with support and enablement from senior leadership)
- Drive the identification, harmonization, and standardization of data for use in systems and processes o Represent the business in decision-making for business data - ensure business rules and relevancy considerations are included in the migration work for projects
- Promote business practices to be inclusive of data for projects, operations, and strategies Performance Metrics:
- Master and transaction data management milestones in support of ERP transformation
- Data standardization/process innovations
**Education and training for business stakeholders Desired Competencies (knowledge, skills and behaviors):**
- Strong communication and leadership skills
- Data / business savvy
- Data process & management skills (data mapping, cleaning, conversion & validation)
- Demonstrated ability to overcome adversity and manage challenges
- Priority setting in alignment with project priorities
- Collaborative team player
- Strong cultural awareness
- Integrity and strong work ethic
- Nimble and agile thinking to drive change that enables efficiencies and standardization
- Ability to:
o Develop cooperative & constructive working relationships with functions
o Manage conflicts and negotiate with others
o Break down complex business problems into manageable goals
o Get to the heart of the problem and make sound and timely decisions to resolve.
**Experience/Education** :
- Graduate (Business degree preferred, MBA)
- 5+ years of experience in a services or manufacturing organization, with large-scale data management experience
- Knowledge of data governance practices, business and technology issues related to management of information assets and approaches related to data protection.
- Worked in data migration from Peoplesoft to SAP S/4 HANA (desirable)

**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's known today.
**ABOUT THE ROLE**
**Role Description:**
The Manager will report into the Senior Manager, Patient Data Management at our Innovation Center in India. This individual will manage Amgen's patient data assets (e.g., data generated from Patient Support Programs and Specialty Pharmacy patient data contracts) and partner with other colleagues across the globe. This includes executing solutions to compliantly connect patient data assets that will serve as the foundation for driving patient journey analytics that inform enhanced patient experiences. This position is responsible for executing cross-functional processes, SOPs (Standard Operating Procedure), and governance to ensure secure and appropriate access to these sensitive data sets. This individual will partner with Patient Access, IS, and Commercial teams and with multiple external vendors to support patient data aggregation, integration, and ongoing operations.
**Roles & Responsibilities:**
+ Gather data requirements for onboarding of new patient support programs, specialty pharmacy and other patient data sources
+ Implement end-to-end data curation processes for Amgen's new and existing PSP (Patient Support Programs) and SP (Specialty Pharmacies) data sources
+ Implement linking of first- and third-party patient data assets to enable longitudinal analytics across the patient journey (e.g., across SPP, Hub, and Syndicated data sets)
+ Lead all aspects of day-to-day patient data operations for multiple brands supported by this role including the daily management of data aggregation vendor activities
+ Respond and resolve data inquiries from cross-functional stakeholders
+ Identify data issues across data sources, ensure checks are implemented and monitor data quality
+ Ensure compliant processing and management of patient level data assets in adherence to all Amgen Privacy and Compliance SOPs
+ Enforce data governance for patient data assets through data access management and business approval processes
**Basic Qualifications and Experience:**
+ Master's degree and 4 to 6 years of data management experience OR
+ Bachelor's degree and 8 to 10 years of relevant data management experience
+ Proven experience in working in global teams and across time zones and cultures
+ Proven experience in working in Product teams and delivering high quality solution in adherence with established processes
+ Strong stakeholder management and communication skills.
+ Excellent English oral and written communication.
**Functional Skills:**
**Must-Have Skills:**
+ Experience in Data Management, Analytics, Sales and/or Marketing Operations, Value & Access, or a related field
+ Direct experience in analyzing large data sets and translating data into information and insights
+ Experience with data, analytics, and technology solutions (AWS/other cloud platforms, SQL, Databricks, Tableau, SAS, Python, R, etc.)
+ Ability to effectively translate business stakeholder requirements to IT partners to ensure high quality, timely, integrated data assets
+ Deliver prioritized data deliverables through agile execution and continuous improvement
+ Demonstrated self-starter, ability to work under limited supervision
+ Strong interpersonal skills, active listening, and relationship management skills
+ Strong vendor management skills
+ Prior experience in executing in major data transformation projects with global teams, including core teams located in India.
**Good-to-Have Skills:**
+ Experience working in the life sciences commercial data domain space, ideally in the areas of Data Platforms and Patient Data.
+ Experience working with patient level datasets including first party sources such as Patient Support Programs & Specialty Pharmacies, Syndicated Sales & Claims data sources, Digital data sources, etc.
+ Quick learning agility to understand new concepts such as our end-to-end Commercial data flows to identify and remediate interdependencies.
+ Understanding of the syndicated commercial data sets and use cases
+ Worked in multinational settings with teams from different countries.
+ Basic understanding of compliance and data privacy requirements.
+ Familiarity with and application of Scaled Agile Framework (SAFe).
**Soft Skills:**
+ Exceptional collaboration and communication skills.
+ Strong data & analytics/critical-thinking and decision-making abilities.
+ Able to perform well in a fast-paced, changing environment.
+ Strong oral, written, and presentation skills, with the ability to articulate complex concepts and controversial findings clearly and compellingly.

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge.
**Job Description**
**Job Overview:**
We are seeking a highly skilled and experienced Data Management Lead with expertise in data management principles, cloud technologies (AWS, Databricks, Informatica, etc.), software engineering practices, and system design and architecture. The ideal candidate will also have leadership experience managing a team of ~10 individuals and driving best practices in data management and engineering.
**Responsibilities:**
+ Lead and manage a data management team of ~10 members, fostering growth and collaboration.
+ Oversee the design, implementation, and maintenance of data infrastructure and pipelines.
+ Ensure adherence to data management principles, including data quality, governance, and security.
+ Utilize cloud platforms like AWS, and tools such as Databricks & Informatica for data processing and storage solutions.
+ Apply software engineering best practices, including DevOps, Infrastructure as Code (IaC), and testing automation, to streamline workflows.
+ Design scalable and robust system architectures aligned with business needs.
+ Collaborate with cross-functional stakeholders to ensure the seamless integration of data systems.
+ Monitor and optimize system performance, reliability, and cost-effectiveness.
**Skills & Qualifications:**
+ Bachelor's or Master's degree in Computer Science, Information Technology, or related fields.
+ 8+ years of experience in data management, with a strong understanding of cloud-based technologies like AWS, Databricks, and Informatica.
+ Expertise in software engineering best practices such as IaC, DevOps pipelines, and comprehensive testing methods.
+ Experience in system design & architecture, including distributed systems and integration patterns.
+ Proven ability to lead and manage a team (~10 people), fostering an inclusive and high-performance culture.
+ Strong problem-solving, communication, and stakeholder management skills.
+ Strong expertise in data integration, data modeling, and modern database technologies (Graph, SQL, No-SQL) and AWS cloud technologies
+ Extensive experience in DBA, schema design & dimensional modeling, and SQL optimization.
+ Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.
**Preferred Skills:**
+ Certifications in AWS, DevOps, Data Engineering, or related technologies.
+ Familiarity with Agile methodologies and tools.
+ Knowledge of modern data governance frameworks and strategies.
**Locations**
IND - Bengaluru
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time

Purpose of the Role:

The Data Management Specialist will support the PMO team by organizing, validating, and maintaining utilization, capacity, and budget vs. actual data across systems. The ideal candidate should be detail-oriented, highly organized, and proficient in handling large datasets to ensure accurate and consistent reporting across platforms.

Key Responsibilities:

• Collate, clean, validate, and maintain data related to:
• Utilization
• Budget vs. Actuals
• Capacity planning and forecasting
• Ensure data consistency and alignment across internal systems
• Identify data discrepancies and work with relevant teams to ensure resolution.
• Support ad-hoc reporting and analytics requests from PMO and leadership.
• Collaborate with Resource Managers and other stakeholders to understand data needs and deliver timely updates.

Required Skills & Experience:

• 2–3 years of experience in Resource Management or similar operations/data-focused roles.
• Proficiency in Excel (pivot tables, formulas, data validation, etc.).
• High attention to detail and ability to manage large datasets accurately.
• Good communication and stakeholder management skills.
• Prior experience in a professional services, consulting, or operations environment is preferred.

Preferred Qualifications:

• Bachelor's degree in Business, Operations, Information Systems, or a related field.
• Familiarity with workforce planning or scheduling tools is a plus.