Director, Product Management - Data

Intuit; Mountain View (CA); On-site; USD 190,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation package

Cash bonus

Equity rewards

Job summary

A leading technology company seeks an experienced data platform product leader in Mountain View, California. This role demands expertise in driving modern data architecture and AI initiatives. Candidates should have a strong SaaS product background with 10-15 years of experience and a passion for customer experiences. Responsibilities include defining product vision, managing a robust product roadmap, and leading a high-performing team. A competitive compensation package awaits the right leader, aligned with Intuit's commitment to diversity and fair pay.

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

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 customer interactions.
• 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.
• 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.

Skills

SaaS/Platform software product development

Customer experience focus

Strategic thinking

AI solutions experience

Product lifecycle management

Leadership and talent development

Tools

Databricks

Snowflake

AI/ML data infrastructure

Job description

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.

Responsibilities

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

Must Have:

• 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

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. 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: