Senior Technical Product Manager - Data
ComPsych
About ComPsychComPsych is the worldwide leader in organizational mental health, well-being, and absence management, dedicated to igniting human potential in workplaces across the globe. For over 40 years, we have combined the best in technology with unmatched human expertise to help individuals and their organizations thrive. Our GuidanceResources and AbsenceResources solutions deliver end-to-end mental health, well-being, work-life, health navigation, and absence support to more than 75,000 customers worldwide, touching more than 160 million lives across 200 countries. Visit compsych.Com to find out why 40% of the Fortune 500 choose ComPsych for their mental health and absence management needs.
About the RoleEvery risk flag,utilizationreport, and recommendation our clients and internal teams rely on starts as a row of data somewhere in our systems. As ComPsych's services become digital products, our ability to turn health, wellbeing, and absence data into something trustworthy, governed, and easy to build on matters as much as any feature we ship.
We'rebuilding that foundation on Databricks — a modern data platform that turns operational and behavioral health data into reusable data products. Increasingly, that data is also a product in its own right: an API offering that internal teams, digital products, and external clients and partners canbuild ondirectly. We're looking for a Senior Technical Product Manager to own that platform end to end, including the API layer as something we productize and stand behind — with real documentation, real SLAs, and real accountability to the people building on it, inside and outside the company.
This role sits at the intersection of data engineering, product, compliance, and go-to-market.You'llgo deep enough with Data Engineering to make good calls on schema, lineage, and pipeline tradeoffs, and just as deep with Sales, Legal, and Security on what an external client or partner can access, under what agreement, and why. Given the sensitivity of the data involved, judgment about who sees what —especiallywhen itincludesparties outside ComPsych — is as central to this job as the roadmap itself.You'llreport to the Director of Platform Product Strategy, working alongside the broader platform team to shape where the data platform goes next.
What You'll Do
Own the product strategy and roadmap for our Databricks-based data platform and its API layer — treatingboth asproducts with real consumers, not just infrastructure.
Define data products, not just data sets. Decide what a “product” looks like for a given dataset — its schema, its quality bar, its documentation, its intended consumers — so teams building on itdon'thave to guess.
Productize the API layer for internal and external consumers. Decide what data becomes an API, whoit'sfor (internal teams, client integrations, partners), what access tiers and SLAs it needs, and howit'sversioned, documented, and supported over time.
Own the external developer experience. Documentation, sandbox environments, onboarding, and support for the clients and partners building on our APIs — their experience is now part of ComPsych's product.
Shape how external access is packaged and governed. Work with Sales, Legal, and Security to define what data external parties can access, under what data-sharing agreements, and at what tier or cost, balancing commercial opportunity against the sensitivity of the underlying data.
Partner deeplywith Data Engineering and Architecture. Be fluent enough in ingestion,
#J-18808-Ljbffr
About the RoleEvery risk flag,utilizationreport, and recommendation our clients and internal teams rely on starts as a row of data somewhere in our systems. As ComPsych's services become digital products, our ability to turn health, wellbeing, and absence data into something trustworthy, governed, and easy to build on matters as much as any feature we ship.
We'rebuilding that foundation on Databricks — a modern data platform that turns operational and behavioral health data into reusable data products. Increasingly, that data is also a product in its own right: an API offering that internal teams, digital products, and external clients and partners canbuild ondirectly. We're looking for a Senior Technical Product Manager to own that platform end to end, including the API layer as something we productize and stand behind — with real documentation, real SLAs, and real accountability to the people building on it, inside and outside the company.
This role sits at the intersection of data engineering, product, compliance, and go-to-market.You'llgo deep enough with Data Engineering to make good calls on schema, lineage, and pipeline tradeoffs, and just as deep with Sales, Legal, and Security on what an external client or partner can access, under what agreement, and why. Given the sensitivity of the data involved, judgment about who sees what —especiallywhen itincludesparties outside ComPsych — is as central to this job as the roadmap itself.You'llreport to the Director of Platform Product Strategy, working alongside the broader platform team to shape where the data platform goes next.
What You'll Do
Own the product strategy and roadmap for our Databricks-based data platform and its API layer — treatingboth asproducts with real consumers, not just infrastructure.
Define data products, not just data sets. Decide what a “product” looks like for a given dataset — its schema, its quality bar, its documentation, its intended consumers — so teams building on itdon'thave to guess.
Productize the API layer for internal and external consumers. Decide what data becomes an API, whoit'sfor (internal teams, client integrations, partners), what access tiers and SLAs it needs, and howit'sversioned, documented, and supported over time.
Own the external developer experience. Documentation, sandbox environments, onboarding, and support for the clients and partners building on our APIs — their experience is now part of ComPsych's product.
Shape how external access is packaged and governed. Work with Sales, Legal, and Security to define what data external parties can access, under what data-sharing agreements, and at what tier or cost, balancing commercial opportunity against the sensitivity of the underlying data.
Partner deeplywith Data Engineering and Architecture. Be fluent enough in ingestion,
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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