Director, Product Management - Data

We're looking for an experienced data platform product leader who is passionate about data infrastructure, analytics enablement, and AI/ML foundations. This leader will drive the modernization of our data platform to support self-service analytics, governed data access, and AI-ready data infrastructure-serving thousands of data practitioners across the company.

You will lead product management for the Data Platform portfolio:

- Data Lakehouse: Modern data architecture enabling governed, self-service access to enterprise data

- Data Pipelines & Processing : Batch and streaming data processing at scale

- Data Quality & Governance: Data quality frameworks, lineage tracking, and governance policies

- Self-Service Analytics: Tools enabling data practitioners to discover, access, and analyze data

- AI/ML Data Foundations: Data infrastructure supporting model training, feature stores, and AI-ready datasets

- Business Intelligence: Dashboarding, reporting, and metrics platforms

- Drive overall product vision, strategy and execution for Data platform products

- Build, maintain and ensure the delivery of a product roadmap based on immersive, hands-on customer interactions

- Build a world-class data product organization with strong customer-backed mindset

- Foster innovation and industry thought leadership for data and data platform capabilities

- Develop systems for measuring success using data-driven decision making

- Drive engineering requirements, product build-out and delivery

- Lead platform modernization from legacy architecture to modern lakehouse patterns

- Partner deeply with engineering leaders to drive platform reliability and adoption

- 10-15+ years building world-class SaaS/Platform software products

- Genuine passion for customers with laser-focus on their experience

- Strategic thinker with ability to align AI initiatives with business goals

- Demonstrated success driving AI solutions within digital environments

- Extensive experience leading products across the lifecycle of paid and subscription software

- Partners across the org to deliver business results in a product ecosystem environment

- Seasoned people leader who can effectively recruit, develop and retain top product talent

- Experience with Databricks, Snowflake, or similar modern data platforms

- Background in data engineering, analytics engineering, or data science

- Experience with AI/ML data infrastructure (feature stores, MLOps)

- Familiarity with data governance, privacy, and compliance requirements

Footer Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location.

To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $286,500 - $387,500