Senior Product Manager, Data Platform
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About the role
Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavant ers are building the future of how data is connected and used to improve health. By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. About Datavant Datavant is a rapidly growing healthcare technology company with a mission to connect the world's health data. By eliminating data silos in the healthcare industry, we aim to unlock opportunities to accelerate clinical data exchange and help organizations design better ways to facilitate access, affordability, and quality of care leading to better patient outcomes. By joining Datavant today, you're stepping onto a highly collaborative team that is passionate about creating transformative change in healthcare. We look for people who are smart, nice and get things done. Datavant is a distributed, remote-first team (no office locations) and we empower Datavant ers to shape their working environment in a way that suits their needs -- learn more here ! Datavant is fast-paced, product-driven, and focused on challenging the status quo. 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 Data Platform team and its initiatives across Datavant . The Data Platform 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 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 . About You 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 managed data infrastructure at scale and have seen where stress fractures form. Data modeling, data contracts, compute cost, fine grained access - you've navigated the confluence of technical & organizational problems You work hard . You are at your best working at full speed, and you love what you do. You are highly organized and have strong project management skills: others are confident in a project's outcome when they know you're owning it. You have high bandwidth and high productivity : others wonder where you