Enterprise Data Governance Senior Analyst

We are seeking a proactive, collaborative, and detail-oriented Enterprise Data Governance Analyst to support the Enterprise Data Governance and Product team across a strategic portfolio of enterprise initiatives and data products. Embedded within the Data, Analytics & AI (DA+A) organization, this role serves as a crucial operational and tactical bridge with the business domain teams.

The Data Governance Analyst will champion a user-centric, product-oriented approach to governance; embedding data stewardship, quality rules, data lineage, metadata management, and regulatory compliance into the end-to-end lifecycle of high-value data and AI products. This individual will help drive adoption and application of Data Governance principles across the organization. This role is pivotal for culture and change management, fostering collaboration among business stakeholders.

The right individual combines a passion for data, analytics and AI, strong soft skills, technical understanding, and domain knowledge to create business value through data-driven change.

Essential Functions/Responsibilities Enterprise Data Governance Framework & Operations

• Support the day-to-day execution, enhancement, and operationalization of the enterprise data governance program and operating model.

• Grow, facilitate, and maintain the enterprise Community of Practice, providing governance playbooks, metadata templates, assessment rubrics, and direct advisory support.

• Support enterprise data literacy initiatives, developing training materials and running awareness sessions to cultivate a data-informed and compliance-conscious culture.

• Partner with functional stakeholders to socialize data principles, policies, data ownership models, and data governance practices.

Data Products & Cross-Functional Program Support

• Provide hands-on governance support across strategic domain portfolios (such as TechOps/Manufacturing, Quality, Supply Chain, R&D, Regulatory, PV, Commercial, and G&A functions including Finance, HR, Legal, and Procurement).

• Work together with Data Product Owners across all phases of the product lifecycle.

• Guide domain stewards in the definition, testing, and operationalization of data quality rules and dashboards to track governance KPIs and facilitate structured root-cause analysis and remediation workflows for data incidents.

• Maintain enterprise business glossaries, data catalogs, and data dictionary entries, ensuring transparent traceability from operational source systems to analytics and reporting layers.

• Author, update, and coordinate stakeholder approvals for Data Governance Standard Operating Procedures (SOPs), data management standards, and operational guidelines.

• Support change management planning, stakeholder communication strategies, and implementation workflows to drive smooth transitions and sustained adoption of governance principles, policies, and tools across business functions.

Required Knowledge, Skills, and Abilities

• Strong understanding of data governance frameworks and best practices.

• Proven experience in:

• Data governance and data quality management.

• Delivering data literacy programs and governance roadmaps.

• Supporting enterprise-wide data governance programs.

• Working within a data product delivery model or partnering with Data Product Owners

• Building and maintaining communities of practice (templates, best practices, advisory support).

• Working cross-functionally and engaging diverse stakeholder teams.

• Ability to translate business needs into technical requirements (and vice versa)

• Excellent communication and documentation skills.

• Background in life sciences across multiple functions (R&D, Regulatory, Supply Chain, Tech Ops, Commercial).

Required/Preferred Education and Licenses

• Bachelor's degree in Computer Science, Data Science, Information Systems, or related field.

• 3-5+ years of experience in data governance, data quality management, metadata management, or data analytics/governance project delivery (preferably within life sciences or a regulated industry)