Senior Data Product Manager
New
T
TalkiatryMental Health
RemoteFull-TimeSenior
Salary150,000 - 187,000 USD per year
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Job Details
- Experience
- 4+ years of product management experience, including 2+ years on data platform, data products, or data infrastructure
- Required Skills
- SQLArtificial IntelligenceProduct Management
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
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
- Lead cross-functional collaboration with Engineering, Design, Data, Clinical, and Operations partners to deliver complex initiatives successfully
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