Product Manager, Data Connectivity

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, Datavanters 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 the Team

The Data Connectivity team builds the products and capabilities that enable healthcare organizations to securely connect and use data across organizations, workflows, and technology ecosystems while preserving privacy and trust.

Our products sit at the intersection of healthcare data, identity, privacy, and modern cloud and data platforms. We work with healthcare and life sciences organizations as well as strategic technology partners such as Databricks, Snowflake, and major cloud providers like AWS to make Datavant's capabilities available where customers already work with their data.

As healthcare increasingly adopts cloud-native architectures, AI-enabled workflows, and connected data ecosystems, trusted data connectivity is becoming even more important. Our team is evolving both the capabilities we offer and how customers access and use them—including how Datavant capabilities can become embedded in emerging AI and agentic workflows. This work helps enable clinical research, real-world evidence generation, development of better medicines, and ultimately better patient outcomes.

About the Role

We're looking for a Product Manager to independently own and evolve meaningful areas of Datavant's growing Data Connectivity portfolio, with an initial focus on products and integrations across modern cloud and data platforms.

You'll help drive our offerings across ecosystems such as Databricks, Snowflake, and major cloud providers—maintaining and improving existing products, bringing Datavant capabilities to new platforms, and staying close to how these ecosystems evolve so our products continue to meet customer needs and take advantage of new opportunities.

You'll translate broader Data Connectivity and ecosystem strategy into clear product roadmaps and execution. Working closely with customers, technology partners, Engineering, and GTM, you'll identify what each platform offering needs, drive delivery from discovery through launch and adoption, and surface insights and opportunities that inform the broader portfolio strategy.

AI will be an important dimension of this work. You'll explore how Datavant's trusted Data Connectivity capabilities can become increasingly native to AI-enabled and agentic workflows, identify opportunities where AI can create meaningful product value, and use AI thoughtfully to accelerate product discovery, prototyping, analysis, and execution.

Your scope will evolve as the portfolio grows. You may work across platform integrations, core Data Connectivity capabilities, customer workflows, and new product initiatives. We're looking for someone who can take meaningful ownership, operate independently, and reliably turn strategy and customer insight into products that are shipped, adopted, and continuously improved.

This role is a strong fit for someone who combines excellent product judgment and execution with enough technical depth to work closely with engineers and technology partners. You should be equally comfortable understanding a customer workflow, discussing technical tradeoffs with Engineering, learning how a platform is evolving, and driving a complex initiative from ambiguity through launch and adoption.

In This Role, You Will

Own roadmap, prioritization, and execution for meaningful areas of the Data Connectivity portfolio.

Develop a deep understanding of customer workflows, needs, and pain points and translate them into clear product priorities.

Partner closely with Engineering to define requirements, make thoughtful technical/product tradeoffs, prioritize work, and drive high-quality delivery.

Own and evolve products and integrations across modern cloud and data ecosystems, with an initial focus likely spanning partners such as Databricks, Snowflake, and major cloud providers.

Stay current on the capabilities and roadmaps of strategic platforms and identify opportunities to improve, expand, or differentiate Datavant's offerings within those ecosystems.

Help translate Datavant's broader ecosystem strategy and joint value propositions into compelling platform-specific products and customer experiences.

Identify opportunities to embed Datavant capabilities into AI-enabled and agentic workflows across strategic cloud and data ecosystems.

Explore where AI can create differentiated product value within Data Connectivity, grounding investment decisions in meaningful customer problems and outcomes.

Thoughtfully leverage AI tools to accelerate product discovery, analysis, prototyping, and execution.

Work cross-functionally with GTM, Technical Services, Design, Privacy, Engineering, and partner teams to take products from discovery through launch, adoption, and ongoing improvement.

Own customer and partner discovery, synthesizing inputs across multiple stakeholders into clear product direction rather than simply responding to individual requests.

Drive roadmap execution across multiple concurrent initiatives, proactively identifying dependencies, risks, and decisions needed to maintain momentum.

Establish clear measures of success and improve how we track platform adoption, usage, product health, and business value to inform roadmap, GTM, and investment decisions.

Partner with GTM to improve product readiness, enablement, adoption, commercialization, and expansion across platform offerings.

Help improve how we launch, communicate, and operate our products, including release readiness and cross-functional coordination where needed.

Bring structure to ambiguous problems, make thoughtful recommendations, and communicate decisions and tradeoffs clearly.

Surface patterns and opportunities across customers and platform ecosystems that can inform the broader Data Connectivity strategy.

About You

You have 5+ years of experience in product management, product strategy, engineering, or another highly relevant technical product role, with demonstrated ownership of complex products from discovery through delivery.

You have strong product judgment and can move fluidly between customer problems, business strategy, technical considerations, and execution.

You are technically fluent. You don't need to be an engineer, but you enjoy understanding how systems work, can engage meaningfully in architecture and API discussions, and build strong partnerships with Engineering.

You have experience with Databricks, Snowflake, AWS, GCP, Azure, or similar cloud/data ecosystems.

You have experience working with complex B2B or enterprise products involving data, cloud infrastructure, APIs, developer workflows, or technical integrations.

You are highly customer-oriented and enjoy deeply understanding workflows rather than taking requirements at face value.

You are curious and pragmatic about AI: you actively explore how emerging tools can improve products and how you work, while distinguishing meaningful opportunities from technology for technology's sake.

You are an exceptional cross-functional operator. You create clarity, establish ownership, identify dependencies, and keep complicated initiatives moving.

You are comfortable operating in ambiguity and evolving environments. You can establish direction within your product area without waiting for every question to be answered.

You