Director, Product Management - Data

Intuit; Monroe (MI); On-site; USD 287,000 - 388,000; Full time

Job summary

Intuit is seeking an experienced Data Platform Product Leader to drive modernization of our data infrastructure, enabling self-service analytics and AI-ready datasets. You will shape a scalable lakehouse architecture, data pipelines, governance, and BI capabilities for thousands of data practitioners.

You will build a world-class product organization, collaborate with engineering to ensure platform reliability, and measure success with data-driven decisions.

Qualifications

• 10-15+ years building world-class SaaS/Platform software products.
• Demonstrated passion for customers and understanding of user experience.
• Experience aligning AI initiatives with business goals.

Responsibilities

• Define and drive the data platform product vision, strategy and roadmap.
• Lead development of data lakehouse, pipelines, governance, and analytics enablement.
• Partner with engineering to ensure reliability, scalability and adoption.

Skills

SaaS product leadership

Data platform

AI/ML foundations

Customer-centric

People leadership

Strategy & roadmaps

Tools

Databricks

Snowflake

Job description

Overview

Intuit is a global platform company that is on a mission to power prosperity around the world for consumers, small businesses and the self-employed. Across our leading brands – TurboTax, Credit Karma, QuickBooks, and Mailchimp . Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work. Intuit is transforming into an AI-driven expert platform that powers prosperity for consumers and small businesses. Central to this strategy is a modern data platform that enables AI/ML, analytics, and data-driven decision making at scale. 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.

Scope

You will lead product management for the Data Platform portfolio:

Data Infrastructure & Processing

• 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

Analytics & AI Enablement

• 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

Responsibilities

• 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

Qualifications

• 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

Nice To Have

• 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.

Expected Base Pay Range For This Position Is:

Mountain View $286,500 - $387,500