Senior Manager, R&D Data Literacy & Monetization

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.  

Essential Functions of the job: 

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 

Supervisory Responsibilities:    

• N/A 

Qualifications & Skills 

• 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