Senior Manager, R&D Data Steward

As a Senior Manager, Data Steward, you will lead stewardship of critical Pharma R&D data domains, ensuring data quality, compliance, and usability across the research and development value chain. You will lead / mentor a team of data stewards and partner closely with governance, data product, and business domain leaders to operationalize data standards, resolve data issues, and deliver trusted, governed data products. This role is not only critical to oversee the implementation and management of MDM initiatives while ensuring accurate, consistent, and complete data across the organization for critical master domains (relevant to R&D), but also central to turning R&D data into a strategic asset, fueling AI/ML, enabling data-driven insights, and business outcomes. Essential Functions of the job: Data Stewardship Leadership Lead the establishment and maintenance of a comprehensive data governance framework that aligns with organizational goals and regulatory requirements. Lead / mentor a team of data stewards assigned to support multiple R&D domains Define stewardship roles, workflows, and accountability to ensure clear ownership of data entities, business metadata, and processes. Act as an escalation point for complex data issues, ensuring timely resolution and alignment with governance policies. Operational Data Stewardship & Standards Operationalize data governance policies, standards, and SOPs in partnership with the governance team. Define, maintain, and curate business metadata (e.g., data definitions, glossary terms, business rules, usage context) within data catalog. Ensure consistency of business metadata across domains to avoid duplication, misinterpretation, or misalignment. Monitor and enforce data quality, completeness, and accuracy across operational systems and data products. Ensure data and metadata are managed in compliance with internal and external standards. Data Quality & Issue Management Define and track domain-specific data quality metrics; coordinate remediation with data engineering and business partners. Maintain metadata-driven data quality rules to ensure trusted data for downstream consumption. Establish root-cause analysis and preventive action processes to reduce recurring data issues. Drive continuous improvement of stewardship workflows through automation and AI/GenAI tools (e.g., automated metadata tagging, anomaly detection). Cross-Functional Collaboration Serve as a liaison between R&D, IT, regulatory, and other business units to identify data needs and resolve data-related issues. Serve as the key stewardship liaison for functional partners (Clinical Ops, Safety, Regulatory, Portfolio, Research). Collaborate with data product teams to ensure domain data and business metadata are curated, contextualized, and analytics-ready. Partner with governance and enablement leads to align stewardship with enterprise data architecture, data catalog, data quality and data marketplace capabilities. Enablement & Culture Build training, guidance, and support materials to enable business users to understand and leverage governed data. Drive awareness and adoption of stewardship and metadata practices through forums, knowledge-sharing, and communities of practice. Champion a data-driven culture by highlighting the value of trusted data and contextual business metadata in enabling insights and compliance. Metrics & Value Realization Track stewardship performance (e.g., data quality improvement, metadata coverage, issue resolution turnaround, compliance readiness). Report stewardship value delivered such as time saved, reduction of manual rework, and risk avoidance enabled by data governance. Provide transparent reporting to governance councils and leadership on stewardship, adoption, and impact. Supervisory Responsibilities: Mentor and develop a team of data stewards and analysts to foster progressive data governance practices and a culture of data stewardship. Inspire and guide the team in achieving departmental goals and objectives, encouraging professional growth. Computer Skills: Microsoft Applications (Outlook, Word, Excel, PowerPoint, Project) Qualifications: Bachelor’s degree in Life Sciences, Information Systems, Data Management, or related field; advanced degree preferred. 7+ years of experience in data stewardship, governance, or data management, with strong exposure to Pharma R&D data. Proven track record of defining governance frameworks and leading cross-functional teams while mastering critical master data domains relevant to R&D. Proven ability to manage and mentor data stewardship teams. Deep understanding of Pharma R&D data domains, regulatory requirements, and data standards. Strong understanding of data management principles, practices, and hands-on experience with stewardship and metadata platforms (e.g., Informatica CDGC/CDQ for cataloging and business metadata, Collibra, Reltio (MDM), Databricks). Strong problem-solving and stakeholder management skills with ability to balance scientific, operational, and compliance needs. Excellent written and verbal communication skills; ability to present stewardship and metadata value to leadership. Demonstrated commitment to building a culture of data trust, quality, and contextual understanding. 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