Senior Manager, Data Steward (AI)

BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer. General Description: 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. Education Required: Bachelor’s degree and 7+ years of experience or equivalent in a health-related field Travel: Minimal Global Competencies When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world. Fosters Teamwork Provides and Solicits Honest and Actionable Feedback Self-Awareness Acts Inclusively Demonstrates Initiative Entrepreneurial Mindset Continuous Learning Embraces Change Results-Oriented Analytical Thinking/Data Analysis Financial Excellence Communicates with Clarity Salary Range: $141,700.00 - $186,700.00 annually BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor. The recruiter can share more about the specific salary range for a preferred location during the hiring process. Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. All Company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards and to voluntarily participate in the Employee Stock Purchase Plan. The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness. We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact [email protected] .