Senior Data Product Manager

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 data capability for non-technical teams and measurably reducing ad hoc request volume.
- Experience writing accurate, concise and up to date product documentation for Engineering and Design handoffs as well as stakeholder reviews.
- Demonstrated ability to develop product strategy, prioritize effectively, and execute against long-term roadmaps.
- Strong interest in AI-driven products, with the ability to identify practical applications of AI.
- Familiarity with AI concepts and technologies, including automation, large language models (LLMs), and decision-support systems.
- Experience working across interconnected systems and understanding technical dependencies, integra