Senior Data Product Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the development and innovation of Komodo Health's key data products.

• Collaborate with engineers to shape product strategy and implementation across the data product portfolio.

• Partner with engineering leadership to formulate a technical strategy that aligns with platform capabilities and customer demands.

• Work alongside the product principal and commercial teams to document various use cases.

• Create product specifications and establish evaluation criteria for design.

• Ensure timely delivery of high-value analyses.

• Manage day-to-day sprint activities.

• Guarantee that the team functions at optimal efficiency.

• Collaborate across various departments within the organization.

• Disseminate knowledge throughout the company.

• Cultivate a deep understanding of Komodo’s data from a customer perspective.

• Conduct investigations into customer use cases and develop evidence-based product insights.

• Implement enhancements to core data products.

• Identify, define, and validate new data product opportunities or significant improvements.

• Create a prioritized backlog that is backed by evidence.

• Collaborate with Data Engineering and commercial-facing teams.

⛳️ Requirements

• Proven experience in a data-centric role within a B2B technology or software organization.

• Previous product management experience is a significant advantage.

• Proficiency in writing and interpreting SQL.

• Capacity to analyze data models and pipelines effectively.

• Ability to engage meaningfully with engineers regarding technical trade-offs.

• Familiarity with statistical data analysis concepts.

• Experience handling US healthcare data.

• Understanding of the inquiries life sciences teams pose to healthcare data.

• A keen interest in how data and systems are structured and where failures may occur.

• Skill in navigating ambiguous challenges and reframing them.

• Capability to decompose conceptual objectives into actionable tasks.

• Ability to establish clear definitions of “done” and “good” prior to commencing work.

• Deep understanding of customer needs and the ability to translate that into precise requirements.

• Proficiency with AI tools for dataset exploration, prototyping, drafting, and validating requirements, as well as challenging reasoning.

🏝️ Benefits

• Performance-based bonuses may be available.

• Eligibility for equity awards may apply.

• Comprehensive health, dental, and vision insurance coverage.

• Flexible time off policies and holiday allowances.

• 401(k) plan with company matching contributions.

• Disability insurance options.

• Life insurance coverage.

• Leave of absence policies adhering to applicable state and local laws and company regulations.

• Flexibility for remote work based on role requirements.

• Flexible in-office attendance schedules for hub-based employees.