Director, Data Platform & AI Enablement

Intuit; Bowling Green (KY); 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 platform, enabling self-service analytics, governed data access, and AI-ready infrastructure across thousands of data practitioners.

You will own the data infra and analytics enablement roadmap, partner with engineering, and lead a world-class team to deliver lakehouse, pipelines, data quality, and AI data foundations.

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.

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.

Skills

SaaS/Platform product leadership

Data platform

AI/ML data foundations

Stakeholder management

Tools

Databricks

Snowflake

Job description

Intuit is seeking an experienced data platform product leader to drive modernization of our data platform, enabling self-service analytics, governed data access, and AI-ready infrastructure across thousands of data practitioners.

You will own the data infra and analytics enablement roadmap, partner with engineering, and lead a world-class team to deliver lakehouse, pipelines, data quality, and AI data foundations.