Innovation Product Building & Management
AI-first tactical execution of 0-to-1 digital products initiatives from concept through pilot and MVP delivery.
Develop and maintain detailed good data practices and documentation in compliance with HIPAA, GDPR, etc. data requirements.
Track progress against milestones and proactively identify and communicate risks or delays.
Ensure documentation and reporting of project outcomes and learnings.
SQL expertise — Strong ability to write complex queries, investigate data quality issues, and understand query performance.
Data modeling — Deep understanding of dimensional modeling, normalization techniques, and schema design for analytics.
Data warehouse knowledge — Working experience with modern data platforms (specifically Databricks).
Conduct exploratory data analysis to uncover trends, patterns, and opportunities that could be turned into valuable, monetized products.
Partner with product managers, engineers, and cross-functional stakeholders to define data requirements that support product development.
Define and document end to end data flows for MVPs, including data sources, transformations, and dependencies.
Collaborate with product managers to define, run, and analyze experiments within Databricks ensuring methodological rigor and actionable results.
Prepare and deliver clear communications to internal stakeholders regarding project status, outcomes, and next steps.

Degree or equivalent and typically requires 7+ years of relevant experience.
7+ years of experience in product, data strategy, innovation, or engineering roles.
Experience leading 0-to-1 cross-functional product development with multiple stakeholders.
Familiarity with digital product development and Agile delivery practices.
Exposure to healthcare or regulated industries preferred.
Ability to manage ambiguity and drive clarity in fast-paced environments.
Working knowledge of innovation tools and frameworks.
Proficiency in collaboration platforms (e.g., Agentic AI, Microsoft Copilot, Miro, Jira, Databricks).
Excellent written and verbal communication skills.
Intermediate to advanced SQL experience, with Python knowledge being a plus.
Experience with BI platforms (e.g. Power BI, Looker, Tableau, Hex).
Strong analytical skills and a passion for problem-solving, with a history of delivering customer-facing data solutions.

Senior Data Product Manager

Key skills