Associate Director, Data Strategy and Governance

Amgen Inc. (IR); Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Amgen Inc. (IR) seeks an Associate Director to shape and execute the enterprise data strategy and AI enablement.

This on-site role in Hyderabad collaborates with Business, Data, Technology, Analytics, and AI teams to build an AI-ready data ecosystem with trusted data products and governance by design. The leader advances data maturity, defines future-state capabilities, and delivers measurable business value through data and AI investments, partnering across global teams and driving governance

Qualifications

• MBA or relevant Master's degree.
• Experience in Data Strategy, Data Governance, Analytics, or Digital Transformation.
• Strong stakeholder management and communication skills.
• Proven leadership in enterprise-scale data/AI transformation.
• Familiarity with data platforms like Collibra, Informatica, Databricks.

Responsibilities

• Shape and execute enterprise data strategy aligned with business priorities.
• Drive FAIR maturity assessments and data governance improvements.
• Develop and manage multi-year data strategy roadmaps and data products.
• Partner with Legal, Privacy, Compliance, and Risk teams on AI-readiness controls.
• Evolve governance from policy-driven to intelligent governance.
• Lead and mentor data and AI leaders across global teams.

Skills

Data Strategy

Data Governance

AI Enablement

Stakeholder Management

Leadership

Enterprise Data Products

Knowledge Graphs

Regulatory Compliance

Education

MBA

Master's in relevant field

Tools

Collibra

Informatica

Ataccama

Reltio

Databricks

Job description

## Associate Director, Data Strategy and GovernanceApply: On Site: India - Hyderabad: Full time: Posted Today: R-216568## **Career Category**Information Systems## ## **Job Description****Job description for Associate Director – Data Strategy in Data Foundation and Governance**The Associate Director, Enterprise Data Strategy & AI Enablement, is responsible for shaping and executing the enterprise-wide data strategy that accelerates AI adoption, digital transformation, and business value realization across the organization.This role serves as a strategic bridge between Business, Data, Technology, Analytics, and AI teams to establish an AI-ready data ecosystem built on trusted data products, active metadata, semantic knowledge layers, governance by design, and modern data management practices.The leader will drive enterprise data maturity, define future-state capabilities, enable responsible AI, and create measurable business outcomes through data and AI investments.**Key Responsibilities**· Contribute to defining and evolve the Enterprise Data & AI-readiness Strategy aligned with business priorities and digital transformation goals· Drive FAIR maturity assessments and continuous improvement programs· Partner with business leaders to identify strategic opportunities where data and AI can create competitive advantage· Help in creation and execution of multi-year data strategy execution roadmap for Amgencovering Data Products, Data Governance, Enterprise Master data, Metadata management, Reference data including Ontologies and Knowledge Graphs, Data Quality and Data observability· Establish and drive adoption of enterprise-wide frameworks for modern data management practices such as AI-ready data, data products, context engineering, unstructured data, and semantic modelling· Define data product lifecycle, ownership, governance, funding, and value realization frameworks· Establish and operationalize enterprise Data Product Management capabilities· Enable domain-centric data ownership and scalable data product delivery models· Define enterprise framework for measuring Return on Data and AI-readiness Investments with outcomes clearly linked to KPIs around revenue growth, cost optimization, productivity gains, business adoption, and impact· Develop executive dashboards highlighting value realization from strategic data initiatives· Help modernize governance from policy-driven to intelligence-driven governance· Drive modernization of structured and unstructured data management capabilities· Contribute to defining the target-state architecture required to support Generative AI, Agentic AI, Predictive AI, and Advanced Analytics· Implement governance-by-design principles leveraging automation and active metadata· Partner with Legal, Privacy, Compliance, and Risk teams to establish AI-readiness controls, Data Ethics, Regulatory compliance frameworks· Identify and develop pilots for emerging technologies and trends in areas such as Agentic AI, Autonomous data management, augmented data quality, Active metadata, and data observability· Drive Data management pilots, MVPs, and innovation initiatives that demonstrate measurable business value· Build enterprise capabilities for AI-enabled data management operations· Influence executive stakeholders and build alignment across global teams.· Serve as a trusted advisor to senior leadership on data and AI-readiness strategy· Promote a culture of innovation, experimentation, and data-driven decision making· Mentor and develop next-generation data and AI leaders· Represent the organization in industry forums and external thought leadership initiatives**Preferred Qualifications**· 16 to 20 years of experience in Data Management, Data Strategy, Analytics, or Digital Transformation· 5+ years leading enterprise-scale Data and AI transformation initiatives.· Experience in Life Sciences, Healthcare, Pharmaceutical, or highly regulated industries preferred.· MBA or Masters in relevant field preferred· Excellent stakeholder management and communication skills· Demonstrable experience in value articulation of data management initiatives· Exposure to complex stakeholder ecosystem· Strong expertise in several of the following:· Enterprise Data Strategy· Data Governance· Data Products· Master Data Management· Metadata Management· Reference data management and Knowledge Graphs· Data Quality & Observability· Unstructured Data Management· AI & Modern Data Capabilities· Good knowledge of one or multiple Data Management platforms such as Collibra, Informatica, Ataccama, Reltio, Centree, DataBricks etc.· Basic understanding of Generative AI, Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Semantic Layer Architecture, Active Metadata Platforms.