Revolution Medicines · 1 day ago
Vice President, Head of Data Product Management
Redwood City, California, United States
Full-time
Hybrid
Director/Executive
$294K/yr - $367K/yr
15+ years expRevolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies for RAS-addicted cancers. The Vice President, Head of Data Product Management will define and scale a global data product ecosystem that integrates scientific, clinical, and commercial efforts, driving data-driven decision making across the organization.
Health CareLife ScienceMedical
Responsibilities
Define and Execute the Global Data Product Vision
Develop a unified, enterprise-wide data product strategy spanning discovery, translational science, clinical development, commercialization, medical affairs, HEOR, market access, marketing analytics, and patient services
Define and maintain data product lifecycle frameworks, including schema evolution, version control, metadata standards, and data governance
Build, mentor, develop, recruit, and retain talent in your teams; provide leadership to direct reports and non-direct report team members. Ensure training, career development, and performance management
Establish and maintain an Enterprise Data Product Catalog and MDM solution covering chemical entities, assay and assay data, biology samples, in vitro and in vivo studies, patient data, real-world datasets, customer and HCP data, market access and payer data, medical insights, and patient service interactions
Drive adoption of API-first data contracts to ensure interoperability, reproducibility, and automation across scientific, commercial, and medical systems
Develop and govern agent-ready interfaces (e.g., MCP-based tools) that expose data products to AI assistants and automation workflows in a secure, auditable manner
Lead the Hub-and-Spoke Operating Model
Build and manage the central Data Product Management function responsible for architecture, design patterns, product governance, and enterprise alignment
Partner with embedded Data Product Managers across Research, Clinical, Commercial, Medical Affairs, HEOR/RWE, Market Access, and Patient Services to ensure each domain’s needs are served while meeting global standards
Align cross-functional stakeholders across Research, Data Science, IT, Clinical, Commercial, Medical Affairs and G&A to ensure consistent data strategies and product usage
Deliver AI- and ML-Optimized Data Products
Design and oversee modular, scalable data products that serve multiple use cases: analytics, AI model training, GenAI fine-tuning, and operational decision support
Collaborate with Data Engineering, CloudOps, MLOps, and Architecture teams to ensure that data products are optimized for high performance, security, and scalability
Ensure all data products are compatible with modern AI-driven applications and can fuel predictive modeling and large language model (LLM) training
Integrate and Harmonize CRO and External Data Sources
Develop standardized frameworks and data exchange pipelines with Contract Research Organizations (CROs), academic partners, and external data vendors
Implement automated ingestion and validation workflows to ensure data quality, integrity, and compliance
Define and enforce metadata, lineage, and security requirements for all external data to ensure harmonization with RevMed’s internal data ecosystem
Partner with Legal, Compliance, and Procurement to align external data sharing and usage agreements with enterprise data governance policies
Govern, Measure, and Evangelize Data Products
Lead the Data Product Council to set priorities, establish governance, and drive organizational alignment
Define and monitor leading and lagging indicators to track adoption, quality, and business impact of data products
Champion data culture and literacy across the organization, ensuring scientific and analytical workflows are data product driven
Partner Across RevMed and the Broader Ecosystem
Collaborate with internal technology, research, data scientists, analysts and business partners to ensure enterprise data strategy alignment
Engage with external SaaS and data partners (e.g., Benchling, Genedata, Mosaic, IQVIA, Komodo Health, SteepRock, CDD Vault, Knime, Veeva, Posit, Databricks, etc.) to expand data and application capabilities
Continuously evaluate and integrate new technologies that enhance the data product portfolio, including GenAI tools, data mesh architectures, and modern cataloging systems
Identify, evaluate, and integrate high-value public and open-source biomedical data assets (e.g., protein structure and language model resources, large-scale omics and drug-response datasets) to augment RevMed’s internal data ecosystem while ensuring proper licensing, provenance, and scientific alignment
Qualification
Required
15+ years of experience in data product management or data platform leadership in life sciences, diagnostics, or biopharma
Proven record of designing and managing enterprise-grade data products supporting research, development, and commercialization
Deep understanding of the scientific data lifecycle and systems used across discovery, translational, and clinical domains
Demonstrated experience in defining API contracts, managing evolving schemas, and overseeing metadata frameworks
Expertise in cloud-native data platforms (AWS, Azure, Snowflake, Databricks) and modern data governance practices
Experience integrating data from CROs, CDMOs, and research partners with rigorous quality and compliance controls
Strong technical fluency and ability to communicate across both scientific and engineering stakeholders
Skilled in data cataloging, metadata management, data lineage, privacy, and security
Excellent leadership and change management skills with a history of influencing across functions
Preferred
Advanced degree in Computer Science, Bioinformatics, or related technical discipline; graduate training in Life Sciences a plus
Direct experience in oncology drug discovery or RAS pathway research
Familiarity with GenAI and LLM applications in scientific and business domains
Experience leading digital transformation or data mesh initiatives in complex organizations
Experience with GxP requirements and Computer System Validation
Benefits
Competitive cash compensation
Robust equity awards
Strong benefits
Significant learning and development opportunities
Company
Revolution Medicines
Revolution Medicines is an innovative and dynamic organization of expert biologists, chemists, pharmacologists, clinical scientists.
501-1000 employees
H1B Sponsorship
Revolution Medicines has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (13)
2024 (18)
2023 (15)
2022 (8)
2021 (1)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$2.25BKey Investors
Royalty PharmaBoxer CapitalNextech Invest
2025-06-24Post Ipo Debt· $250M
2024-12-02Post Ipo Equity· $750M
2023-03-02Post Ipo Equity· $323.6M
Leadership Team
Luan Wilfong
Chief Human Resources Officer
Steve Kelsey
President
Recent News
2025-12-18
2025-12-18
Company data provided by crunchbase