Senior Level Data Governance Lead Jobs
Senior level data governance lead jobs put experienced professionals in charge of enterprise data strategy, policy ownership, and the cross-functional programs that translate governance frameworks into organizational practice. Openings concentrate across Technology & Software, Banking & Financial Services, and Construction & Real Estate, with a mix of on-site, remote, and hybrid settings, and employers like Citi, Fanduel, and Northwest Bank hiring at this level now.
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Showing 5 of 26+ Senior Level Data Governance Lead jobs
Overview
Overview
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.
The Role
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
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 complex, cross-functional agenda as a senior individual contributor.
Qualifications
Qualifications
- 8+ years in data governance, data strategy, or data architecture, including 2 to 3 years operating at a principal or strategic level.
- Demonstrated experience standing up or scaling a data governance and stewardship program.
- Experience governing data through a large legacy-to-cloud platform migration, with a focus on lineage, ownership, and controls rather than technical migration execution alone.
- Experience building or owning enterprise data maps, catalogs, and lineage tooling.
- Strong technical fluency, including SQL and modern data warehouse environments (Snowflake, BigQuery, or similar).
- Experience in a regulated or controls-sensitive environment (SOX/ICFR exposure preferred).
- Track record of influencing enterprise-level data strategy and senior stakeholders across business and technology.
- Bachelor's degree in Information Systems, Computer Science, Finance, Business, or a related field; advanced degree or relevant certifications a plus.
Preferred Experience
- Hands-on experience with synthetic data generation and validation techniques.
- Experience with Oracle ERP or EPM environments and Finance data models (Chart of Accounts, master data).
- Experience supporting Finance, Accounting, or FP&A functions in a large, matrixed enterprise.
- Exposure to AI/ML data readiness, data products, or federated data governance models.
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 (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.
Mountain View $215,000 - $291,000
Overview
Overview
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.
The Role
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
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 complex, cross-functional agenda as a senior individual contributor.
Qualifications
Qualifications
- 8+ years in data governance, data strategy, or data architecture, including 2 to 3 years operating at a principal or strategic level.
- Demonstrated experience standing up or scaling a data governance and stewardship program.
- Experience governing data through a large legacy-to-cloud platform migration, with a focus on lineage, ownership, and controls rather than technical migration execution alone.
- Experience building or owning enterprise data maps, catalogs, and lineage tooling.
- Strong technical fluency, including SQL and modern data warehouse environments (Snowflake, BigQuery, or similar).
- Experience in a regulated or controls-sensitive environment (SOX/ICFR exposure preferred).
- Track record of influencing enterprise-level data strategy and senior stakeholders across business and technology.
- Bachelor's degree in Information Systems, Computer Science, Finance, Business, or a related field; advanced degree or relevant certifications a plus.
Preferred Experience
- Hands-on experience with synthetic data generation and validation techniques.
- Experience with Oracle ERP or EPM environments and Finance data models (Chart of Accounts, master data).
- Experience supporting Finance, Accounting, or FP&A functions in a large, matrixed enterprise.
- Exposure to AI/ML data readiness, data products, or federated data governance models.
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 (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.
Mountain View $215,000 - $291,000
See All 26 Senior Level Data Governance Lead Jobs
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Top Industries Hiring
- Technology & Software10
- Banking & Financial Services4
- Construction & Real Estate3
- Investment & Asset Management3
- Biotechnology & Pharmaceuticals3
Senior Level Data Governance Lead Jobs: Frequently Asked Questions
How do I get a senior level data governance lead job?
Employers at this level look for candidates who have owned governance programs end to end, not just contributed to them. Demonstrating that you have defined data policies, led stewardship councils, and driven adoption across business units is what sets a senior candidate apart. Familiarity with frameworks like DAMA-DMBOK and the ability to align governance work to measurable business outcomes give you a clear edge.
Which companies hire senior level data governance leads?
Companies hiring senior level data governance leads right now include Citi, Fanduel, and Northwest Bank, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to come from large enterprises and regulated industries that have mature data programs and need experienced leaders to scale them.
Are there remote senior level data governance lead jobs?
Yes, though availability varies by employer and industry. About 38% of senior level data governance lead openings are remote or hybrid as of September 2026, reflecting the collaborative but portable nature of governance work. Roles tied to highly regulated environments or those requiring hands-on stakeholder alignment often prefer hybrid arrangements.
What makes a data governance lead role senior level?
Senior level data governance lead roles are defined by program ownership, strategic scope, and leadership responsibility. At this stage, you are setting governance direction, not executing tasks handed down by others. Expectations include designing enterprise-wide policies, influencing executive stakeholders, mentoring junior team members, and taking accountability for data quality and compliance outcomes across the organization.
Which industries hire the most senior level data governance leads?
Senior Level data governance lead roles concentrate in Technology & Software, Banking & Financial Services, and Construction & Real Estate, based on current listings on Migrate Mate as of September 2026. These sectors drive demand because they operate under strict regulatory requirements and manage high volumes of sensitive data, making experienced governance leadership a business-critical function rather than a supporting one.