Senior Data Product Manager

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Product Manager based in United States.

As a Senior Data Product Manager, you will own the evolution of a modern data ecosystem spanning data platforms, third-party integrations, metrics, and end-user data capabilities. You’ll translate complex data and operational challenges into scalable product strategies and measurable outcomes. The role offers broad cross-functional exposure, partnering with Engineering, Marketing, Finance, Operations, Clinical, and Product teams. You’ll help make trusted data, analytics, attribution, segmentation, and AI-powered capabilities more accessible to non-technical users. Success requires balancing hands-on understanding of data flows and integrations with strong product judgment, prioritization, and executive alignment. You’ll join a mission-driven, fast-paced environment where technology and data have a meaningful impact at scale.

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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.