Senior Level Data Strategy Lead Jobs
Senior level data strategy lead jobs place experienced professionals in charge of enterprise data vision, cross-functional roadmaps, and the teams accountable for turning data into business outcomes. Openings are concentrated in Technology & Software, Consulting & Professional Services, and Automotive, with a mix of on-site, remote, and hybrid settings, and employers like Meta, JPMorganChase, and ZS Associates hiring at this level now.
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Showing 5 of 31+ Senior Level Data Strategy 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 31 Senior Level Data Strategy Lead Jobs
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Top Industries Hiring
- Technology & Software19
- Consulting & Professional Services4
- Automotive1
- Manufacturing1
- Medical Devices1
Senior Level Data Strategy Lead Jobs: Frequently Asked Questions
How do I get a senior level data strategy lead job?
Employers hiring at this level look for candidates who have owned a data strategy end to end, not just contributed to one. Demonstrating that you have set direction, secured stakeholder alignment, and measured outcomes puts you ahead. A portfolio of scaled data programs, evidence of cross-functional leadership, and familiarity with modern data governance frameworks are the clearest signals hiring managers evaluate.
Which companies hire senior level data strategy leads?
Companies hiring senior level data strategy leads right now include Meta, JPMorganChase, and ZS Associates, based on current listings on Migrate Mate as of September 2026. At this level, hiring tends to come from large enterprises with complex data ecosystems, consulting firms advising those organizations, and high-growth technology companies building out mature data functions.
Are there remote senior level data strategy lead jobs?
Yes, though availability varies by employer and industry. About 50% of senior level data strategy lead openings are remote or hybrid as of September 2026, reflecting strong demand for experienced practitioners who can lead distributed teams. Roles tied to regulated industries or those requiring close executive collaboration are more likely to require some on-site presence.
What makes a data strategy lead role senior level?
Senior level roles are defined by ownership and scope rather than task execution. A senior data strategy lead sets the direction for how an organization collects, governs, and activates its data assets, rather than implementing a plan someone else designed. These roles also carry mentoring responsibilities, require influencing decisions at the executive level, and demand deep technical fluency alongside business acumen.
Which industries hire the most senior level data strategy leads?
Senior level data strategy lead roles concentrate in Technology & Software, Consulting & Professional Services, and Automotive, based on current listings on Migrate Mate as of September 2026. These sectors tend to have the most mature data operations and the clearest business case for dedicated senior leadership to drive data as a competitive advantage.