Senior Data Product Manager

As a Senior Data Product Manager at Talkiatry, you will own the evolution of our data stack, end user data enablement strategy and our third party integrations (including referrals, billing and more). This role reaches into nearly every part of Talkiatry's practice, and asks you to balance day-to-day execution against a strategic view of how our data capabilities should evolve. You will partner closely with Referrals, Operations, Marketing, Finance, Engineering, and other Product teams to identify high-impact opportunities, define long-term direction, and deliver scalable solutions across Talkiatry's data ecosystem. This includes putting more capability directly in the hands of the people who need it: AI functionality, self-serve analytics, configurable attribution, and marketer-controlled segmentation that don't require an engineering ticket. You will expand our metrics and proprietary data layers so that the definitions the business runs on are trustworthy and owned. And you will grow the data foundation underneath our Referrals business and the features we offer partner organizations. This is a role for someone comfortable at two altitudes: system design, data flows, definitions, and integration debugging on one hand; roadmap, tradeoffs, and executive alignment on the other.

About Talkiatry:

Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care.

Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America.

Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose.

You will:

• Lead product strategy and execution for our data platform, third party integrations, and end user data enablement

• Develop and maintain a long-term roadmap for the data stack, our metrics layers, proprietary data models and data user AI capabilities

• Own third party integrations across referrals, billing, marketing, and clinical systems

• Own data quality and reliability as product requirements, with validation, monitoring, and alerting that catch problems early

• Identify where AI and automation add real value to end data users

• Put analytics, attribution, and segmentation directly in the hands of Marketing, Operations, and Finance without engineering dependencies

• Balance short-term operational priorities with long-term platform investments and scalability goals

• Lead cross-functional collaboration with Engineering, Design, Data, Clinical, and Operations partners to deliver complex initiatives successfully

• Anticipate dependencies across interconnected systems, drive alignment, and break ambiguous problems into prioritized opportunities

• Define success metrics, establish measurable goals, and use data to evaluate product impact and inform strategic decisions

• Navigate ambiguity by breaking down complex operational and systems challenges into actionable product opportunities

You have:

• 4+ years of product management experience, including 2+ years on data platform, data products, or data infrastructure

• Working fluency with the modern data stack: ELT, cloud warehousing, transformation, orchestration, BI and semantic layers, and reverse ETL

• Comfort reading and writing SQL, and the ability to reason independently about grain, joins, duplication, and completeness

• Experience leading complex product initiatives across multiple teams and systems

• Experience owning metric definitions and governance, including resolving competing definitions across teams

• Track record of building self-serve da