Senior Product Manager, ML Platform

About the Team

The Platform Product team at Datavant is responsible for partnering with the Core Technology / Platform Engineer teams to build the technical foundations that accelerate our Product Engineering teams. We obsess about creating leverage for our developers and product development process; and achieve this by having a unique combination of: technical expertise, domain experience, and product-oriented thinking.

About the Role

You will be the dedicated product partner for the ML Platform & Data Science teams and their initiatives across Datavant. The Data Science team's vision is to transform Datavant into an AI-first company by seamlessly integrating AI into our existing products, driving new solutions, and owning AI/ML technology assets end-to-end. Data Scientists are embedded within cross-functional teams, partnering with Engineering, Product Managers across business units, and other stakeholders to identify opportunities and deliver measurable value.

• Drive adoption and impact: Work closely with Data Science, Engineering, and Product teams across the organization to advance cross product vertical AI/ML shared capabilities, drive adoption, and ensure value realization. Evangelize data science wins and capabilities, remove roadblocks, and articulate the impact of DS initiatives.
• Be customer-focused: Obsess about identifying and solving high-value problems for internal stakeholders (Engineering, Product, Business Units) and external partners through the thoughtful application of data science. Collaborate closely with Data Science and Engineering teams to define, develop, and ship impactful models, features, and platforms that drive measurable business outcomes.
• Provide clarity: Navigate the inherent ambiguity in applying AI/ML by providing clear direction on product strategy, initiative prioritization, and build vs. buy decisions within your scope. Collaborate with technical leads to make informed trade-offs, backed by sound reasoning and analysis.
• Define product requirements: Work closely with customers, Data Scientists, and Engineers to translate complex business needs and data science possibilities into clear, concise, and motivating requirements. Foster a deep understanding of the underlying data, models, systems, and user workflows to guide the iterative development of robust and scalable solutions.
• Be a leader: Lead by example, fostering a collaborative environment between Product, Data Science, and Engineering. Champion the strategic importance of data science and AI throughout the organization & identification of opportunities for shared capabilities.
• Operate like an owner: Take ownership of the success of data science products and platforms, from ideation through development, deployment, monitoring, and maintenance. Embrace a "no job is too small" attitude to ensure the success of your products, the Data Science team, and Datavant.

About You

• You have 5+ years in a product management, product strategy, or engineering ideall