Senior Manager, R&D Data Steward

Role Summary

Senior Manager, Data Steward at BeOne. Lead stewardship of critical Pharma R&D data domains, ensuring data quality, compliance, and usability across the research and development value chain. Mentor a team of data stewards and collaborate with governance, data product, and business domain leaders to operationalize data standards and deliver governed data products, enabling AI/ML and data-driven insights.

Responsibilities

• Mentor a team of data stewards assigned to support multiple R&D domains
• Define stewardship roles, workflows, and accountabilities to ensure clear ownership of data entities, business metadata, and processes
• Act as escalation point for complex data issues, ensuring timely resolution and alignment with governance policies
• Operationalize data governance policies, standards, and SOPs in partnership with the governance team
• Define, maintain, and curate business metadata 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
• 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
• 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
• 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
• 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

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 ability to manage and mentor data stewardship teams
• Deep understanding of Pharma R&D data domains, regulatory requirements, and data standards
• Hands-on experience with stewardship and metadata platforms (e.g., Informatica CDGC/CDQ for cataloging and business metadata, Collibra, Reltio, 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

Skills

• Data governance and stewardship
• Metadata management
• Data quality management
• Stakeholder management
• Team leadership and mentoring
• Regulatory and compliance awareness
• Data catalog and data architecture collaboration
• Problem solving and process improvement
• Communication and training development

Education

• Bachelor’s degree in Life Sciences, Information Systems, Data Management, or related field; advanced degree preferred

Additional Requirements

• Travel: Minimal