Senior Level Data Governance Specialist Jobs
Senior level data governance specialist jobs put experienced professionals in charge of enterprise data policy, framework ownership, and the cross-functional teams and programs that operationalize data quality, compliance, and stewardship. Openings are concentrated in Technology & Software, Banking & Financial Services, and Construction & Real Estate, with a mix of on-site, hybrid, and remote roles, 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 Specialist 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
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Top Industries Hiring
- Technology & Software10
- Banking & Financial Services4
- Construction & Real Estate3
- Investment & Asset Management3
- Biotechnology & Pharmaceuticals3
Senior Level Data Governance Specialist Jobs: Frequently Asked Questions
How do I get a senior level data governance specialist job?
Employers hiring at the senior level look for candidates who have owned governance frameworks end-to-end, not just contributed to them. Demonstrated experience defining data policies, leading metadata or data quality initiatives, and influencing stakeholders across business and technology teams sets strong candidates apart. Familiarity with governance platforms, regulatory compliance drivers, and the ability to mentor junior practitioners are consistent differentiators at this stage.
Which companies hire senior level data governance specialists?
Companies hiring senior level data governance specialists 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 concentrate in large enterprises, regulated industries, and organizations scaling their data management capabilities, where experienced governance ownership is a strategic priority.
Are there remote senior level data governance specialist jobs?
Yes, remote and hybrid availability is meaningful at this level. About 38% of senior level data governance specialist openings are remote or hybrid as of September 2026, reflecting how much of the work centers on policy, stakeholder alignment, and platform configuration rather than on-site physical presence. On-site roles do exist, particularly in highly regulated sectors.
What makes a data governance specialist role senior level?
Senior level roles are defined by ownership and scope. Where a mid-level specialist executes within an established framework, a senior specialist designs, maintains, and continuously improves that framework. Responsibilities typically include setting data standards across domains, leading governance committees or working groups, resolving complex data quality or compliance issues, and mentoring less experienced team members. The work shapes how an organization treats data as a strategic asset.
Which industries hire the most senior level data governance specialists?
Senior level data governance specialist 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 tend to generate high volumes of sensitive or regulated data, making mature governance programs a compliance and operational necessity rather than an optional investment.