Vice President, Data Platform
Flagship Pioneering IncCambridge, MA USA$275k – $365kPosted 12 March 2026
Tech Stack
Job Description
ABOUT PIONEERING INTELLIGENCE
Pioneering Intelligence builds on Flagship Pioneering’s legacy of founding cutting-edge science and computational ventures, harnessing recent advances in AI, machine learning, and data to accelerate fundamental research and create a portfolio of AI-first companies. As part of Flagship’s integrated model of science, entrepreneurship, and capital, it transforms breakthrough ideas into world-changing companies, elevating the AI advances happening across the ecosystem in human health, sustainability, and beyond.
Position Summary
Flagship's Pioneering Intelligence seeks a VP AI Data Platform to lead the strategy and development of our AI-native data technologies. This platform leverages our unique breadth of portfolio company data in partnership with our AI scientists to return differentiated AI models and tools to the benefit of our portfolio companies. This leader partners with our scientific, technical, business, and legal colleagues to enable new AI capabilities while maintaining strong controls, trust, and compliance.
Key Responsibilities
Own strategy and continued development of an AI-native data platform for benefits dozens of portfolio companies
Deliver a product-minded and user-centered roadmap for the data platform
Lead a high-performing technical team to implement the roadmap
Build strategic co-development partnerships with external collaborators
Work with leaders across the portfolio to ensure enthusiastic adoption of data platform tools
Drives adoption across all wholly-owned portfolio companies
Work with colleagues in Pioneering Intelligence to enable differentiated and innovative molecular models and agentic systems that leverage the data platform
Ensures secure, compliant cross-company data governance
Qualifications
Experience designing and delivering scalable data platforms used in machine learning contexts with sensitive proprietary data
Experience balancing performance and cost of hardware and software vendor solutions with internal development efforts
Strong knowledge of user-centered software product development
Experience working with machine learning teams
Demonstrated ability to understand concerns, align value, and enable shared outcomes across many stakeholders
History of leading a high-functioning technical team of software and infrastructure engineers
Experience with technical and legal data governance frameworks
Communicates clearly with executive and nontechnical stakeholders
Objectives
Adoption of the Flagship Data Exchange by all wholly-owned portfolio companies by June 2026
Improve leverage of data for individual companies
Enable sharing of new AI models trained on pan-portfolio data
Enable well-governed cross-company data access
ABOUT FLAGSHIP PIONEERING
Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.
Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com .
At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.
We are an equal opportunity employer . All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, ... (truncated, view full listing at source)
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