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BeiGene

Senior Manager, R&D Data Literacy & Monetization

Reposted Yesterday
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Remote
Hiring Remotely in US
142K-187K Annually
Senior level
Remote
Hiring Remotely in US
142K-187K Annually
Senior level
The Senior Manager in R&D Data Literacy & Monetization drives the strategic utilization of R&D data, transforms datasets into reusable products, and promotes data literacy across the organization, ensuring effective governance and promoting advanced analytics and AI initiatives.
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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
  • 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

Core Competencies 

  • 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  

Education 

  • Bachelor’s degree in Life Sciences, Information Systems, Data Management, or related field  
  • Advanced degree (e.g., MS, MBA) in data science, life sciences, or business preferred  

Technical Skills 

  • 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.

Travel: 

  • Minimal   

BeOne Global Competencies:

When we exhibit our values of Patients First, Collaborative Spirit, Bold Ingenuity and Driving Excellence, 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

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].

Top Skills

Collibra
Databricks
Informatica Cdgc/Cdq
Microsoft Office Suite
Reltio
HQ

BeiGene Cambridge, Massachusetts, USA Office

55 Cambridge Parkway, Suite 700W, Cambridge, MA, United States, 02142

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