Job Title     : Data Steward  
Experience : 8-12 Years
Location     :  Remote     

Job Description : 

General Description:

• The Senior Manager of R&D Data Steward owns the strategic and operational oversight of R&D data
• governance. In this role will shape the overall data strategy, manage stewardship teams, and ensure that our
• data assets drive business value, maintain compliance, and enable scalable analytics and AI initiatives

Essential Functions of the job:

• Strategy & Framework
• Define and evolve the R&D data governance roadmap in partnership with senior leadership.
• Translate enterprise objectives into governance frameworks, policies, and standards.

• Operational Leadership

• Manage daily stewardship operations, ensuring consistent application of policies and SLAs.
• Coordinate multiple teams to maintain the data catalog, metadata, and access models.
• Oversee issue-resolution workflows and ensure timely delivery of data-governance services.

• Quality & Compliance Oversight

• Establish and monitor governance KPIs—data quality scores, compliance metrics, and adoption rates.
• Lead preparation for regulatory audits, ensuring robust documentation and evidence of controls.

• Change Management & Stakeholder Engagement

• Drive enterprise-wide change initiatives—training programs, awareness campaigns, and feedback loops.
• Engage with functional leaders to prioritize high-value data use cases and measure impact.
• Report on governance performance and communicate strategic insights to the leadership team

Supervisory Responsibilities:

• No

Computer Skills:

• Microsoft Applications (Outlook, Word, Excel, PowerPoint, Project)

Qualifications:

• Bachelor’s or advanced degree in Life Sciences, Data Management, Information
• Systems, or related field.
• 8+ years’ experience in data governance, stewardship, or MDM; including 3+ years in a managerial capacity.
• Demonstrated success shaping data strategy and leading high-performing governance
• teams in a regulated environment.
• Deep expertise in R&D data domains, FAIR principles, and GxP/non-GxP compliance frameworks.