Senior Data Product Manager

Talkiatry is a mission-driven mental health company transforming psychiatry through a technology-powered, in-network platform that improves access to care and supports clinicians. The Senior Data Product Manager will lead strategy and execution for the data platform, data enablement capabilities, and third-party integrations, while developing roadmaps, improving data quality, and enabling self-serve analytics and AI-driven solutions. The role partners cross-functionally across Engineering, Operations, Marketing, Finance, Clinical, and Product teams to deliver scalable data capabilities.

Responsibilities:

• 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

Requirements:

• • 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
• • 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, integrations, and operational trade-offs
• • Strong product judgment and ability to navigate ambiguity in complex problem spaces
• • Excellent communication and organizational skills, with the ability to clearly articulate priorities, trade-offs, and strategic rationale