Senior Data Product Manager
New
J
JobgetherHealthcare Technology
Based in United StatesFull-TimeSenior
Salary150,000 - 187,000 USD per year
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Job Details
- Experience
- 4+ years of product management experience, including at least 2 years focused on data platforms
- Required Skills
- SQLArtificial IntelligenceBusiness IntelligenceProduct ManagementData modeling
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.
- Familiarity with AI concepts and technologies, including automation, large language models (LLMs), and decision-support systems.
- Strong product judgment and analytical thinking with the ability to navigate ambiguity.
- Excellent communication, organization, and stakeholder-management skills.
Responsibilities
- Lead product strategy and execution for the data platform, third-party integrations, and end-user data enablement.
- Own integrations across referrals, billing, marketing, clinical, and other interconnected systems.
- Establish data quality, reliability, validation, monitoring, and alerting as core product requirements.
- Identify practical opportunities for AI and automation to reduce engineering reliance.
- Build self-service analytics, configurable attribution, and marketer-controlled segmentation capabilities.
- Define and govern business metrics and data models to establish trusted sources of truth.
- Balance immediate operational needs with long-term platform scalability.
- Lead complex cross-functional initiatives across Engineering, Design, Data, Clinical, and Operations teams.
- Define success metrics and use data to assess product impact and inform decisions.
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