Senior Product Manager, Data Platform

What We’re Looking For

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.

What You Will Do

• Drive adoption and impact: Work closely with Data Science, Engineering, and Product teams across the organization to integrate AI/ML capabilities, drive adoption, and ensure value realization.
• Be customer-focused: Obsess about identifying and solving high-value problems for internal stakeholders (Engineering, Product, Business Units). Collaborate closely with Engineering teams to define, develop, and ship impactful abstractions, features, and platforms that drive measurable business outcomes.
• 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.
• 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.

What You Need to Succeed

• You have 5+ years in a product management, product strategy, or engineering with a focus on data engineering, data infrastructure, or business intelligence products; ideally working in a healthcare (or a similar industry) where security / compliance play a major role in how things get designed
• You are technical. When needed, you aren't afraid to dive into the code to better understand what is going on. While you may not be doing commits to help develop the data lake SDK, we might find you leading a whiteboard session on an ER diagram, searching through code on Github, or spinning up Docker to get a feel for the current DevEx.
• You know data at scale. You’ve been a part of teams that have dealt with large-scale data systems and understand the challenges and trade-offs involved.