Principal, Finance Data Governance & Strategy

Intuit's mission is powering prosperity around the world. We do this by attracting the world's top talent, delivering innovative solutions for consumers, small businesses, self-employed professionals, and accounting experts. Every day we innovate with our flagship products: TurboTax, QuickBooks, Mailchimp, and Credit Karma. For over 100 million customers, we deliver more money, more time, and more confidence.

Reporting to the Director, Finance Data, Automation and AI, the Principal, Finance Data Governance & Strategy will own the data foundation that Intuit's Finance transformation is built on. As Finance modernizes its planning, reporting, and ERP platforms under the Unified Plan to Perform program, and as AI moves from pilots into production Finance workflows, the value of that work depends on data that is defined once, owned clearly, traceable to source, and safe to use. This is a senior individual contributor role for someone who is equally comfortable setting policy and building the technical foundation that makes it real. You will stand up and scale Finance's governance and stewardship model, ensure governance is designed into our platform modernization rather than retrofitted afterward, and lead emerging capabilities such as synthetic data that let Finance test, develop, and train models without exposing sensitive data. The role sits at the intersection of control and innovation. You will partner across Finance, Technology, Enterprise Data, Risk and Compliance, Legal, and Security, and represent Finance in shaping Intuit's enterprise data strategy Responsibilities Responsibilities Own Finance's data governance framework: Define and operate data definitions, quality standards, stewardship, and access controls across Finance data domains, with accountable owners and clear decision rights for every critical dataset. Build lineage and the Finance data map: Establish and maintain a living inventory of Finance data sources, systems, flows, and transformations, so every metric traces back to source and the map serves as the reference for access, risk, audit, and architecture decisions. Embed governance in platform modernization: Lead the data governance, mapping, and reconciliation strategy for Finance's ERP and planning platform migration, ensuring ownership, lineage, and SOX-relevant controls are re-established in the target state rather than replicated as-is. Lead Finance's synthetic data strategy: Define where synthetic data can replace production data for testing, development, model training, and analytics; set fidelity and validation standards; and partner with Engineering and AI/ML teams on reusable pipelines and tooling. Design controls with partners: Work with Technology, Enterprise Data, Risk and Compliance, Legal, and Security on access controls and sensitive-data handling that meet SOX and privacy requirements without slowing the business. Represent Finance in enterprise data strategy: Sit on enterprise data governance forums, align Finance standards with Intuit-wide policy, and ensure Finance's needs are reflected in company-wide data decisions. Shape what comes next: Build and own the roadmap for Finance's data capability maturity, evaluating emerging capabilities (AI-driven data quality, automated lineage, federated access) and acting as a thought partner to Finance leadership on where to invest. Candidate Profile The ideal candidate has built data governance programs, not just operated them, and has done so in a controls-sensitive environment where trust in the data is non-negotiable. They are technically fluent enough to evaluate tradeoffs directly, and strategic enough to earn credibility with senior leaders across Finance and Technology. They are energized by the ambiguity of newer capabilities like synthetic data, where the playbook does not yet exist, and they bring a pragmatic bias toward standards that scale over one-off fixes. They influence without direct authority and can carry a