Senior Data Product Manager

Talkiatry

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Lead product strategy and execution for the data platform, third party integrations, and end user data enablement
  • Develop and maintain a long-term roadmap for the data stack, metrics layers, and proprietary data models
  • Own third party integrations across referrals, billing, marketing, and clinical systems
  • Ensure data quality and reliability through validation, monitoring, and alerting
  • Identify practical applications for AI and automation to add value to end data users
  • Enable self-serve analytics, attribution, and segmentation for non-technical teams
  • Lead cross-functional collaboration with Engineering, Design, Data, Clinical, and Operations partners

Requirements

  • 4+ years of product management experience
  • 2+ years of experience specifically on data platforms, data products, or data infrastructure
  • Working fluency with the modern data stack (ELT, cloud warehousing, transformation, orchestration, BI, semantic layers, and reverse ETL)
  • Proficiency in reading and writing SQL
  • Experience owning metric definitions and governance across multiple teams
  • Proven track record of building self-serve data capabilities for non-technical users
  • Familiarity with AI concepts including LLMs and decision-support systems

About the Company

Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. As the largest dedicated psychiatry practice in the U.S., Talkiatry uses a technology-powered, in-network platform to empower clinicians and improve the patient experience.

Skills & tools

SQLProduct ManagementAI

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 014+ years product management experience
  2. 022+ years data platform/infrastructure experience
  3. 03Modern data stack fluency
  4. 04SQL proficiency
  5. 05AI/LLM familiarity
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