Senior Data Product Manager

Accountabilities:

• • Lead product strategy and execution for the data platform, third-party integrations, and end-user data enablement, maintaining a clear long-term roadmap across data infrastructure, metrics, proprietary data models, and AI capabilities.
  • Own integrations across referrals, billing, marketing, clinical, and other interconnected systems, anticipating dependencies and resolving technical and operational challenges.
  • Establish data quality, reliability, validation, monitoring, and alerting as core product requirements to ensure trusted and dependable business data.
  • Identify practical opportunities for AI and automation, enabling teams to access insights and complete workflows with less dependence on engineering resources.
  • Build self-service analytics, configurable attribution, and marketer-controlled segmentation capabilities for Marketing, Operations, Finance, and other business users.
  • Define and govern business metrics and data models, resolving competing definitions and establishing trusted sources of truth across teams.
  • Balance immediate operational needs with longer-term platform investments, scalability, and strategic priorities.
  • Lead complex cross-functional initiatives with Engineering, Design, Data, Clinical, and Operations, creating alignment and driving execution across multiple teams.
  • Define success metrics and measurable goals, using data to assess product impact, inform decisions, and continuously improve the data ecosystem.

  Requirements:

  • 4+ years of product management experience, including at least 2 years focused on data platforms, data products, or data infrastructure.
  • Strong working knowledge of the modern data stack, including ELT, cloud data warehousing, transformation, orchestration, BI and semantic layers, and reverse ETL.
  • Comfortable using SQL and independently reasoning about data grain, joins, duplication, completeness, and data quality.
  • Proven experience leading complex product initiatives that span multiple teams, systems, integrations, and technical dependencies.
  • Demonstrated experience defining and governing metrics, resolving conflicting definitions, and creating trusted data foundations.
  • Track record of developing self-service data capabilities for non-technical users and reducing reliance on ad hoc data requests.
  • Strong product strategy, prioritization, roadmap development, and execution skills, with the ability to balance short-term requirements against long-term investments.
  • Familiarity with AI concepts and technologies, including automation, large language models (LLMs), and decision-support systems, with a strong interest in practical AI applications.
  • Strong product judgment and analytical thinking, with the ability to navigate ambiguity and turn complex operational or technical challenges into actionable opportunities.
  • Excellent communication, organization, and stakeholder-management skills, including the ability to clearly explain priorities, trade-offs, and strategic rationale.

  Benefits:

  • Competitive base salary: $150,000–$187,000 annually.
  • Medical, dental, and vision coverage effective from day one.
  • 401(k) plan with employer matching.
  • Generous paid time off and paid holidays.
  • Paid parental leave.
  • Learning and professional development opportunities.
  • Collaborative, fast-paced startup environment with opportunities to build and shape new capabilities.
  • Mission-driven work focused on improving access to and delivery of mental healthcare.
  • Supportive culture that prioritizes employee well-being, growth, inclusion, and belonging.
  • Fully remote work arrangement.