Senior Manager, R&D Data Literacy & Monetization

BeiGene

7d

About The Position

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. The Senior Manager, R&D Data Literacy & Monetization drives the strategic use of enterprise R&D data assets by transforming governed datasets into reusable data products that deliver measurable business value. This role sits within the R&D Data Governance organization and serves as a critical bridge between business stakeholders, data platform teams, and governance functions to enable data-driven decision-making, advanced analytics, and AI initiatives. In addition, the role champions data literacy, adoption, and a culture of trusted data usage, ensuring that R&D data is not only well-governed but actively leveraged to generate insights, improve efficiency, and drive innovation. This role enables the organization to unlock the full value of its R&D data by increasing reuse of governed datasets, reducing duplication of analytics efforts, supporting advanced analytics and AI-driven initiatives, strengthening data-driven decision-making, and demonstrating measurable returns on data investments.

Requirements

• 7+ years of experience in data strategy, data governance, analytics, or data product management
• Experience in biotech, pharmaceutical, or healthcare R&D environments
• Strong understanding of Data governance frameworks, Data product lifecycle, Data privacy, security, and regulatory requirements
• Experience with modern data platforms and analytics ecosystems (e.g., Databricks)
• Hands-on experience with metadata management and data stewardship tools (e.g., Informatica CDGC/CDQ, Collibra, Reltio or similar MDM platforms)
• Familiarity with medallion architecture (Bronze → Silver → Gold)
• Experience working with clinical, safety, or R&D analytics data
• Experience developing data literacy programs or training initiatives within R&D organizations
• Strong ability to derive actionable insights from large datasets and translate them into business value
• Understanding of how R&D data drives operational insights, decision-making, and enterprise value
• Basic understanding of financial concepts related to data value realization and monetization
• Strong stakeholder engagement and leadership
• Strategic thinking and problem-solving
• Ability to balance scientific, operational, and compliance needs
• Excellent communication and executive presentation skills
• Commitment to data quality, governance, and trust
• Bachelor’s degree in Life Sciences, Information Systems, Data Management, or related field
• Proficiency in Microsoft Office Suite (Outlook, Word, Excel, PowerPoint, Project)
• Strong knowledge of data architecture, data lakes, ETL processes, and database management systems.
• Ability to conduct statistical analyses and interpret findings relevant to R&D and business operations.
• Familiarity with machine learning concepts and how they can be applied to R&D datasets to derive insights.

Nice To Haves

• Advanced degree (e.g., MS, MBA) in data science, life sciences, or business preferred

Responsibilities

• Identify High-Value Data Assets Partner with R&D stakeholders during use case intake and prioritization to identify high-value data opportunities Evaluate datasets based on business impact, reusability, and analytics/AI potential Develop and apply a data asset value framework to prioritize datasets for productization
• Create Reusable Data Products Collaborate with engineering, modeling, and governance teams to build scalable, reusable data products that align with Bronze → Silver → Gold medallion architecture Ensure datasets are governed, standardized, and enriched with business logic, metadata, and quality controls Enable delivery via analytics-ready datasets, APIs, and AI/ML-ready assets Publish and promote data products via data catalog and marketplace
• Enable Internal Value Creation Drive cross-functional data reuse and insights across R&D Enable use cases such as benchmarking, standardized reporting, and AI-driven analytics Ensure secure and compliant data access in partnership with governance and compliance teams Promote adoption through governed platforms and standardized processes
• Data Governance & Consumption Enablement Ensure all data products meet standards for data quality, metadata, lineage, and stewardship Maintain compliance with privacy, regulatory, and security requirements Define and support data catalog and marketplace strategy Enable self-service access, provisioning workflows, and documentation Track and drive data product adoption and usage
• Value Realization & Impact Measurement Define and track KPIs for data product adoption and value realization Measure impact across Data reuse and adoption, Operational efficiency, Cost savings, Analytics and AI enablement Develop dashboards and executive reporting on data value
• Data Literacy & Culture Enablement Develop training and guidance to improve data literacy and adoption Promote data stewardship, metadata usage, and governance practices Foster a culture of data trust, quality, and informed decision-making
• Cross-Functional Collaboration R&D Business Stakeholders Data Governance & Stewardship Data Engineering & Modeling Analytics & AI/ML Teams Legal, Compliance & Privacy

Benefits

• Medical
• Dental
• Vision
• 401(k)
• FSA/HSA
• Life Insurance
• Paid Time Off
• Wellness
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level