4,717 Data Architecture jobs in India

**Calling all innovators - find your future at Fiserv.**
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Specialist, Data Architecture
**What does a great AI/ML Engineer do?**
We are seeking a highly skilled Generative AI Specialist with 6-8 years of extensive experience in AI and machine learning, focusing on generative models and prompt engineering. The successful candidate will work collaboratively within our team to design, implement, and optimize generative AI solutions that enhance our product offerings and provide value to our clients.
**What You will do**
+ Develop, implement, and optimize generative models (e.g., GANs, VAEs) for various applications.
+ Conduct research and stay updated with the latest advancements in generative AI and deep learning.
+ Collaborate with cross-functional teams to identify opportunities for leveraging generative AI in our products.
+ Design and optimize prompts used in AI models to improve output quality and relevance.
+ Analyze model performance and user data to refine prompt strategies.
+ Analyze and preprocess large datasets to train and validate models effectively.
+ Create and maintain documentation for algorithms, methodologies, and processes.
+ Provide training and support to internal teams on generative AI technologies.
**What you will need to have** **:**
+ Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
+ 6-8 years of experience in AI/ML, with a strong focus on generative models and prompt engineering.
+ Proficiency in programming languages such as Python or R.
+ Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
+ Strong understanding of machine learning algorithms and statistical analysis.
+ Excellent problem-solving skills and ability to work in a fast-paced environment.
+ Strong communication skills to articulate complex ideas to non-technical stakeholders.
**What would be great to have**
+ Experience in the financial services industry is a plus.
+ Familiarity with natural language processing (NLP) or computer vision (CV) applications.
+ Contributions to open source projects or published research in generative AI.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

Job Description

: As a Data & AI Technology Manager specializing in .NET, Azure, and GCP at Accenture India, you will lead cross-functional teams to design and implement innovative data solutions that drive business transformation for our clients. Your expertise in cloud services, data management, HR technologies, and AI-driven solutions will be pivotal in delivering high-quality projects aligned with client objectives. Additionally, you will leverage your understanding of key Talent and HR domains to design data-driven workforce solutions that enhance employee experience, optimize talent strategies, and drive business growth Key Responsibilities: •Project Leadership: Oversee the end-to-end delivery of data engineering projects, ensuring solutions are scalable, secure, and meet performance standards. • Technical Expertise: Utilize deep knowledge of .NET frameworks, A • loud & Containers: Leverage expertise in containerization technologies such as Kubernetes and Docker to optimize cloud-based deployments and ensure high availability. • C ient Engagement: Collaborate with clients to gather requirements, provide strategic insights, and translate business needs into technical solutions. • T am Management: Lead and mentor a team of data engineers and developers, fostering a culture of continuous learning and innovation. • Q ality Assurance: Implement best practices in data management, including data quality, governance, and security protocols. • I novation and Strategy: Stay abreast of industry trends and emerging technologies to drive the adoption of cutting-edge data solutions and maintain a competitive edge. • E terprise Architecture: Review and integrate all application requirements, including functional, security, integration, pe
What are we looking for? •ASP.NET MVC •Microsoft Azure DevOps •Adaptable and flexible •Ability to perform under pressure •Problem-solving skills •Detail orientation •Ability to establish strong client relationship
Roles and Responsibilities: •In this role you are required to identify and assess complex problems for area of responsibility • The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors • Requires adherence to strategic direction set by senior management when establishing near-term goals • Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach • Some latitude in decision-making in involved • you will act independently to determine methods and procedures on new assignments • Decisions individual at this role makes have a major day to day impact on area of responsibility • The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture • Please note that this role may require you to work in rotational shiftsAny Graduation

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.

Visit us at

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv.

Responsibilities

Requisition ID R- Date posted 09/09/2025 End Date 09/30/2025 City Bengaluru State/Region Karnataka Country India Location Type Onsite

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Advisor, Data Architecture

What does a successful Advisor do at Fiserv?

As a member of our Data Commerce Solutions group, you will build and take ownership of the design and development of data engineering projects within Fiserv’s Enterprise Data Commerce Solutions division. You will apply your depth of knowledge and expertise to all aspects of the data engineering lifecycle, as well as partner continuously with your many stakeholders daily to stay focused on common goals.

You will Lead large-scale data engineering, integration and warehousing projects, build custom integrations between cloud-based systems using APIs and write complex and efficient queries to transform raw data sources into easily accessible models by using the Data integration tool with coding across several languages such as Java, Python, and SQL. Additional responsibilities include, but are not limited to Architect, build, and launch new data models that provide intuitive analytics to the team and Build data expertise and own data quality for the pipelines you create.

What you will do:

Provide strategic leadership and direction to the software development team, fostering a culture of innovation, collaboration, and continuous improvement.

Develop and implement a robust software development strategy aligned with the company's overall objectives and long-term vision.

Collaborate with product management to define software requirements, scope, and priorities, ensuring alignment with business goals.

Lead and guide the software development team in creating technical design specifications, architecture, and development plans for complex software projects.

Ensure adherence to industry best practices, coding standards, and software development methodologies to deliver high-quality and scalable software solutions.

Monitor and analyze software development metrics and key performance indicators (KPIs) to track team productivity, efficiency, and code quality.

Manage the software development budget and resource allocation, optimizing resource utilization and capacity planning.

Foster a culture of learning and development within the team, providing coaching, mentoring, and professional growth opportunities to team members.

Identify and mitigate potential risks and challenges in software development projects, developing contingency plans as needed.

Collaborate with other stakeholders to establish and maintain effective communication channels and project status updates.

Stay up to date with industry trends, emerging technologies, and best practices to drive continuous improvement and innovation in software development processes.

Build and maintain strong relationships with external partners, vendors, and third-party providers to enhance software development capabilities and delivery.

What you will need to have:

Bachelor’s or master’s degree in computer science, Software Engineering, or a related field. An advanced degree is preferred.

Proven experience (minimum 7+ years) in a senior leadership role within software development or software engineering.

Demonstrated success in delivering complex software projects and products on time and within budget.

Extensive experience in software development methodologies, such as Agile, Scrum, or Kanban, and experience in transitioning teams to these methodologies.

Strong technical expertise in software architecture, design patterns, and modern software development languages and frameworks.

Excellent communication, interpersonal, and leadership skills, with the ability to influence and inspire cross-functional teams.

Exceptional problem-solving and decision-making abilities, with a keen attention to detail and a focus on delivering high-quality products.

Proven track record of building and managing high-performing software development teams.

Strong business acumen and the ability to align software development initiatives with broader business objectives.

A passion for innovation, technology, and keeping abreast of the latest developments in the software industry.

Proficiency with solutions for processing large volumes of data, using data processing tools and Big Data platforms.

Understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS, SQL experience

Hands-on experience in production rollout and infrastructure configuration

Demonstrable experience of successfully delivering big data projects using Kafka, Spark

Exposure working on NoSQL Databases such as Cassandra, HBase, DynamoDB, and Elastic Search

Experience working with PCI Data and working with data scientists is a plus.

In depth knowledge of design principles and patterns

Experience with cloud platforms and services such as AWS, Azure, or Google Cloud Platform, and knowledge of deploying and managing APIs in a cloud environment.

Knowledge of API gateway solutions and their implementation, such as Kong, Apigee, or AWS API Gateway.

What would be great to have:

Exposure to Big Data tools and solutions a strong plus.

Exposure to Relational Modeling, Dimensional Modeling, and Modeling of Unstructured Data.

Experience in Design and architecture review and Banking and Financial domain.

Apply using your legal name

Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. 

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv.

Responsibilities

Requisition ID R- Date posted 09/08/2025 End Date 09/15/2025 City Pune State/Region Maharashtra Country India Location Type Onsite

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Specialist, Data Architecture

What does a great AI/ML Engineer do?
We are seeking a highly skilled Generative AI Specialist with 6-8 years of extensive experience in AI and machine learning, focusing on generative models and prompt engineering. The successful candidate will work collaboratively within our team to design, implement, and optimize generative AI solutions that enhance our product offerings and provide value to our clients.

What You will do

Develop, implement, and optimize generative models (e.g., GANs, VAEs) for various applications.

Conduct research and stay updated with the latest advancements in generative AI and deep learning.

Collaborate with cross-functional teams to identify opportunities for leveraging generative AI in our products.

Design and optimize prompts used in AI models to improve output quality and relevance.

Analyze model performance and user data to refine prompt strategies.

Analyze and preprocess large datasets to train and validate models effectively.

Create and maintain documentation for algorithms, methodologies, and processes.

Provide training and support to internal teams on generative AI technologies.

What you will need to have :

Bachelor's or Master’s degree in Computer Science, Data Science, AI, or a related field.

6-8 years of experience in AI/ML, with a strong focus on generative models and prompt engineering.

Proficiency in programming languages such as Python or R.

Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries.

Strong understanding of machine learning algorithms and statistical analysis.

Excellent problem-solving skills and ability to work in a fast-paced environment.

Strong communication skills to articulate complex ideas to non-technical stakeholders.

What would be great to have

Experience in the financial services industry is a plus.

Familiarity with natural language processing (NLP) or computer vision (CV) applications.

Contributions to open source projects or published research in generative AI.

Apply using your legal name

Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. 

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

Accenture | Let there be change

We embrace change to create 360-degree value
- **Project Role**:Data Architect
- ** Management Level**:8
- ** Work Experience**:8-10 years
- ** Work location**:Bengaluru
- ** Must Have Skills**:

- ** Good To Have Skills**:

- ** Job Requirements:
**- **Key Responsibilities **:Design logical data model with proper data model patterns to support the business need, reflect the Business reality, and to withstand business change and avoid data update anomalies Ensure the same for any curated data sets3Ensure physical model is implemented with adherence to the Conceptual data model and Logical Data Model Ensure for both transactional data models and curated data sets4Ensure the user experience design reflects the reality of the data concepts and the data model patterns
- **
Technical Experience **:1Integration patterns - web services, 2event-based architectures, etc, 3Data Security, 4Data Governance, Data Conversion, 5Application Performance tuning
- **
Professional Attributes **:1Understand Accentures enterprise Data model, Good communication skills, 2Attitude to learn new technologies driving team 3Good Co-ordination collaboration skills to work with global teams
- **
Educational Qualification **:BE/BTech
- **
Additional Information **:Responsible for the design of the data integration eg, Batch, Web services, Event-based, etc;

15 years of full time education

**Calling all innovators - find your future at Fiserv.**
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Tech Lead, Data Architecture
**What Does a great Data Architecture do at Fiserv?**
We are seeking a seasoned Data Architect with extensive experience in data modeling and architecting data solutions, particularly with Snowflake. The ideal candidate will have 8-12 years of hands-on experience in designing, implementing, and optimizing data architectures to meet the evolving needs of our organization. As a Data Architect, you will play a pivotal role in ensuring the robustness, scalability, and efficiency of our data systems.
**What you will do:**
+ **Data Architecture Design:** Develop, optimize, and oversee conceptual and logical data systems, ensuring they meet both current and future business requirements.
+ **Data Modeling:** Create and maintain data models using Snowflake, ensuring data integrity, performance, and security.
+ **Solution Architecture:** Design and implement end-to-end data solutions, including data ingestion, transformation, storage, and access.
+ **Stakeholder Collaboration:** Work closely with business stakeholders, data scientists, and engineers to understand data requirements and translate them into technical specifications.
+ **Performance Optimization:** Monitor and improve data system performance, addressing any issues related to scalability, efficiency, and data quality.
+ **Governance and Compliance:** Ensure data architectures comply with data governance policies, standards, and industry regulations.
+ **Technology Evaluation:** Stay current with emerging data technologies and assess their potential impact and value to the organization.
+ **Mentorship and Leadership:** Provide technical guidance and mentorship to junior data architects and engineers, fostering a culture of continuous learning and improvement.
**What you will need to have:**
+ 8-12 Years of Experience in data architecture and data modeling in Snowflake.
+ Proficiency in Snowflake data warehousing platform.
+ Strong understanding of data modeling concepts, including normalization, denormalization, star schema, and snowflake schema.
+ Experience with ETL/ELT processes and tools.
+ Familiarity with data governance and data security best practices.
+ Knowledge of SQL and performance tuning for large-scale data systems.
+ Experience with cloud platforms (AWS, Azure, or GCP) and related data services.
+ Excellent problem-solving and analytical skills.
+ Strong communication and interpersonal skills, with the ability to translate technical concepts for non-technical stakeholders.
+ Demonstrated ability to lead and mentor technical teams.
**What would be nice to have:**
+ **Education:** Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
+ **Certifications:** Snowflake certifications or other relevant industry certifications.
+ **Industry Experience:** Experience in Finance/Cards/Payments industry
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

**Calling all innovators - find your future at Fiserv.**
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Tech Lead, Data Architecture
**What Does a great Data Architecture do at Fiserv?**
We are seeking a seasoned Data Architect with extensive experience in data modeling and architecting data solutions, particularly with Snowflake. The ideal candidate will have 8-12 years of hands-on experience in designing, implementing, and optimizing data architectures to meet the evolving needs of our organization. As a Data Architect, you will play a pivotal role in ensuring the robustness, scalability, and efficiency of our data systems.
**What you will do:**
+ **Data Architecture Design:** Develop, optimize, and oversee conceptual and logical data systems, ensuring they meet both current and future business requirements.
+ **Data Modeling:** Create and maintain data models using Snowflake, ensuring data integrity, performance, and security.
+ **Solution Architecture:** Design and implement end-to-end data solutions, including data ingestion, transformation, storage, and access.
+ **Stakeholder Collaboration:** Work closely with business stakeholders, data scientists, and engineers to understand data requirements and translate them into technical specifications.
+ **Performance Optimization:** Monitor and improve data system performance, addressing any issues related to scalability, efficiency, and data quality.
+ **Governance and Compliance:** Ensure data architectures comply with data governance policies, standards, and industry regulations.
+ **Technology Evaluation:** Stay current with emerging data technologies and assess their potential impact and value to the organization.
+ **Mentorship and Leadership:** Provide technical guidance and mentorship to junior data architects and engineers, fostering a culture of continuous learning and improvement.
**What you will need to have:**
+ 8-12 Years of Experience in data architecture and data modeling in Snowflake.
+ Proficiency in Snowflake data warehousing platform.
+ Strong understanding of data modeling concepts, including normalization, denormalization, star schema, and snowflake schema.
+ Experience with ETL/ELT processes and tools.
+ Familiarity with data governance and data security best practices.
+ Knowledge of SQL and performance tuning for large-scale data systems.
+ Experience with cloud platforms (AWS, Azure, or GCP) and related data services.
+ Excellent problem-solving and analytical skills.
+ Strong communication and interpersonal skills, with the ability to translate technical concepts for non-technical stakeholders.
+ Demonstrated ability to lead and mentor technical teams.
**What would be nice to have:**
+ **Education:** Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
+ **Certifications:** Snowflake certifications or other relevant industry certifications.
+ **Industry Experience:** Experience in Finance/Cards/Payments industry
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

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 specialising 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.
**Title: Sr. Analyst, Data Architecture**
**Brief introduction - Role Summary/Purpose :**
+ The candidate will collaborate with Colgate Business teams and CBS Analytics to identify and develop high-impact use cases utilizing Prompt Engineering.
+ This position requires a strong foundation in Artificial Intelligence, Machine Learning, and Generative AI.
+ The ideal candidate is an analytical problem solver skilled at working with large data sets, demonstrates a collaborative and customer-centric approach (proactive and responsive to business needs), and possesses strong written and verbal communication abilities. Additionally, the candidate should have a passion for continuous learning and driving innovation to unlock new business opportunities.
**Responsibilities :**
+ Design, develop and refine AI-generated text prompts for various applications
+ Collaborate with content creators, product teams and data scientists to ensure prompt alignment with company goals and user needs
+ Monitor and analyze prompt performance to identify areas for improvement
+ Optimize AI prompt generation process to enhance overall system performance
+ Stay up-to-date on the latest advancements in AI, natural language processing and machine learning
+ Provide support to teams in understanding prompt engineering best practices
**Required Qualifications :**
+ Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
+ 1 Year of Experience with prompt engineering for large language models (LLMs) including Gemini, GPT, Llama, and Claude is preferred
+ Comprehensive understanding of Artificial Intelligence, Machine Learning, and generative AI platforms
+ Knowledge of Data Transformation tools - R/Python/ SQL/DBT/Cloud solutions ( GCP/Snowflake )
+ Working knowledge of visualization tools like SIgma,Tableau, DOMO, Data studio,
+ Ability to Read , Analyze and Visualize data
+ Effective Verbal & Written Communication for Business engagement
**Preferred Qualifications:**
+ Excellent problem-solving and analytical skills
+ Ability to collaborate effectively with cross-functional teams
+ Working knowledge of consumer packaged goods industry
+ Understanding of Colgate's processes, and tools supporting analytics (for internal candidates)
+ Willingness and ability to experiment with new tools and techniques
+ Good facilitation and project management skills
**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, colour, 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

**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 Director for Data Architecture and Solutions will lead Amgen's enterprise data architecture and solutions strategy, overseeing the design, integration, and deployment of scalable, secure, and future-ready data systems. This leader will define the architectural vision and guide a high-performing team of architects and technical experts to implement data and analytics solutions that drive business value and innovation.
This role demands a strong blend of business acumen, deep technical expertise, and strategic thinking to align data capabilities with the company's mission and growth. The Director will also serve as a key liaison with executive leadership, influencing technology investment and enterprise data direction
.
**Roles & Responsibilities:**
+ Develop and own the enterprise data architecture and solutions roadmap, aligned with Amgen's business strategy and digital transformation goals.
+ Provide executive leadership and oversight of data architecture initiatives across business domains (R&D, Commercial, Manufacturing, etc.).
+ Lead and grow a high-impact team of data and solution architects. Coach, mentor, and foster innovation and continuous improvement in the team.
+ Design and promote modern data architectures (data mesh, data fabric, lakehouse etc.) across hybrid cloud environments and enable for AI readiness.
+ Collaborate with stakeholders to define solution blueprints, integrating business requirements with technical strategy to drive value.
+ Drive enterprise-wide adoption of data modeling, metadata management, and data lineage standards.
+ Ensure solutions meet enterprise-grade requirements for security, performance, scalability, compliance, and data governance.
+ Partner closely with Data Engineering, Analytics, AI/ML, and IT Security teams to operationalize data solutions that enable advanced analytics and decision-making.
+ Champion innovation and continuous evolution of Amgen's data and analytics landscape through new technologies and industry best practices.
+ Communicate architectural strategy and project outcomes to executive leadership and other non-technical stakeholders.
**Functional Skills:**
**Must-Have Skills:**
+ 10+ years of experience in data architecture or solution architecture leadership roles, including experience at the enterprise level.
+ Proven experience leading architecture strategy and delivery in the life sciences or pharmaceutical industry.
+ Expertise in cloud platforms (AWS, Azure, or GCP) and modern data technologies (data lakes, APIs, ETL/ELT frameworks).
+ Strong understanding of data governance, compliance (e.g., HIPAA, GxP), and data privacy best practices.
+ Demonstrated success managing cross-functional, global teams and large-scale data programs.
+ Experience with enterprise architecture frameworks (TOGAF, Zachman, etc.).
+ Proven leadership skills with a track record of managing and mentoring high-performing data architecture teams.
**Good-to-Have Skills:**
+ Master's or doctorate in Computer Science, Engineering, or related field.
+ Certifications in cloud architecture (AWS, GCP, Azure).
+ Experience integrating AI/ML solutions into enterprise Data Achitecture.
+ Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, CloudFormation).
+ Scaled Agile or similar methodology experience.
**Leadership and Communication Skills:**
+ Strategic thinker with the ability to influence at the executive level.
+ Strong executive presence with excellent communication and storytelling skills.
+ Ability to lead in a matrixed, global environment with multiple stakeholders.
+ Highly collaborative, proactive, and business-oriented mindset.
+ Strong organizational and prioritization skills to manage complex initiatives.
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
**Basic Qualifications:**
+ Doctorate degree and 2 years of Information Systems experience, or
+ Master's degree and 6 years of Information Systems experience, or
+ Bachelor's degree and 8 years of Information Systems experience, or
+ Associates degree and 10 years of Information Systems experience, or
+ 4 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs.