Data Product Manager
About The Position
The Data Product team is responsible for developing and evolving the core data asset that powers Komodo Health’s application suite, our Healthcare Map. Serving as the foundation of the company’s offerings, the team transforms complex healthcare data into scalable, high-quality products that enable meaningful insights for life sciences and healthcare stakeholders. The Data Product Operations team’s mission is to ensure high-quality, timely data deliveries to customers, supported by proactive and clear communication. This team's work is critical, directly supporting a major portion of the company's ARR through data delivered via Platform Reports and Sentinel. In this role, you will be responsible for the reliable and timely execution of all data deliveries, thus building and maintaining customer trust and consistency. Bring your curiosity, creativity, and your favorite prompts — we believe AI fluency is a competitive edge!
Requirements
- 7+ years of experience in data product management or data product operations role in a healthcare or life sciences domain
- Prior experience working with medical and / or prescription claims data
- Comfortable using data analysis tools and creating SQL queries to conduct analysis
- Demonstrated ability to translate complex concepts to both technical and non-technical audiences.
- Highly detail-oriented with an "Operations First" approach.
- Strong critical thinking and problem-solving abilities.
- Ability to leverage AI tools (Gemini, Claude, Cursor, etc.) to enhance personal productivity, streamline workflows, content and visualization creation.
Nice To Haves
- Familiarity with life sciences, payer, and provider healthcare users, their priorities, and data and analytics needs
- Prior experience as a product manager, with experience in a data-focused role at a B2B technology/software company
- Experience working in agile / scrum teams with engineering to ship features and products
- Experience as a leader with proven ability to collaborate and influence others in a highly cross-matrixed environment
- Understanding of the third party payment system in the United States and how this system affects the claims data a strong plus but not required
- Experience interacting with, managing, or building with AI agentic workflows.
Responsibilities
- Partnered with vendors to resolve data delivery issues and address schema-related modifications.
- Collaborated with the Data Strategy team to identify gaps in the healthcare map, informing the evaluation and onboarding of new data sources.
- Proactively quantified and communicated data-related issues to downstream teams and customers.
- Developed a comprehensive understanding of the healthcare map and its representation of the real-world healthcare system.
- Led exploratory analysis to understand data quality issues and provided appropriate workarounds or solutions when feasible.
- Gathered feedback from customers and internal users to prioritize and maintain an actionable operations backlog.
- Collaborated with data engineering and data quality engineers to enhance the reliability and quality of data pipelines.
- Enhanced operational rigor through the implementation of new processes.
- Integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights.
Benefits
- comprehensive health, dental, and vision insurance
- flexible time off and holidays
- 401(k) with company match
- disability insurance and life insurance
- leaves of absence in accordance with applicable state and local laws and regulations and company policy
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
