(Senior) Director, Data Platform Product Manager

About Pioneering Intelligence What if... we could harness science, data, and AI to create breakthroughs and accelerate the creation of new technologies? This is the question that Pioneering Intelligence, Flagship Pioneering's in-house AI initiative, seeks to explore. Joining together cutting edge-research and digital sciences, Pioneering Intelligence is dedicated to developing AI/ML-powered platforms for transformative applications in human health, sustainability and beyond. Pioneering Intelligence builds on Flagship’s legacy of founding companies at the forefront of AI, driving advances across the ecosystem, fueling Flagship’s creation of breakthrough innovations, and pushing the boundaries of the field. We are a team of computational scientists and engineers from a variety of backgrounds, including applied math, nuclear physics, engineering, and computational biology. We bring together diverse skillsets to draw on the vast reservoir of knowledge from across the scientific spectrum and encourage our team to think beyond what is traditionally accepted in the field of computation. We are building a next generation digital foundation that integrates computational science, AI/ML, knowledge engineering, data platforms, and workflow automation. These capabilities support Flagship’s model of exploring the unknown and translating scientific insight into world-changing companies. About the Role The Flagship Data Platform is a shared data platform that helps Flagship companies move faster by providing secure, well-governed access to trusted data across the portfolio As (Senior) Director, Product Manager for the Data Platform, you will own the product strategy, roadmap, and execution from early use cases through scaled adoption. You will work closely with software and ML engineers, UX, scientists, and senior stakeholders across multiple companies to turn ambiguous, high value opportunities into clear, high impact products that accelerate science and decision making. You are comfortable operating in a dynamic, highly interdisciplinary environment and can move fluidly between strategy, discovery, and hands-on execution. Key Responsibilities Own the end-to-end product vision and roadmap, setting metrics and priorities to maximize impact Rapidly drive product discovery, from user research and problem framing to prototyping and validation Align priorities with an empowered technical lead Use product analytics, qualitative feedback, and experimentation to inform decisions Align and communicate results to stakeholders Define and use metrics to ensure engagement and user value Qualifications 7+ years product management experience with end-to-end ownership Experience building data platforms, APIs, or infrastructure-adjacent products Strong understanding of data architectures, pipelines, and governed access Proven ability to ship iteratively using product analytics and user research Deep skill in discovery, prioritization, and problem framing under ambiguity Experience applying LLMs or agentic systems to product definition and prototyping Effective collaborator across engineering, science, UX, and ML teams Leads through influence and communicates clearly with senior stakeholders Preferred Experience Experience in biotech, computational biology, drug discovery, or scientific software. Experience taking products from 0→1 and then scaling them through high growth phases. Experience in startup, innovation-intensive, or venture/incubator environments, or in building new product lines inside larger organizations. Hands-on experience working with AI/ML, data platforms, or developer/platform products. Strength in customer discovery, storytelling, and translating complex technical or scientific concepts for varied audiences. Near Term Objectives and Outcomes In the first 6–12 months, success looks like: The Data Platform is an AI-native platform that delivers clear, differentiated value to teams across the Flagship portfol ... (truncated, view full listing at source)