1

Vice President Data Quality Jobs (NOW HIRING)

$228 - $240/hr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Ensure consistent data definition, quality, classification, lineage, and lifecycle management ...

VP, Data (Bradenton)

Bradenton, FL · On-site

$125K - $160K/yr

Reporting directly to the SVP of Product, Data & Commercial Technology, this role is responsible ... quality. Cross-Functional Collaboration * Partner closely with the Chief Commercial Officer, COO ...

Vice President, Data & Analytics

Columbus, OH · On-site +1

$173K - $224K/yr

The Vice President, Data & Analytics provides executive leadership for the organization's data ... Establish enterprise data governance and stewardship - data ownership, quality standards, and ...

... data quality, and operational rigor. • Foster a collaborative, high-ownership culture that ... prior VP / Head of Data Engineering scope (or equivalent) • Proven ownership of data systems ...

$180 - $200/hr

Vibrant Emotional Health's groundbreaking solutions have delivered high quality services and ... The Assistant Vice President, Data is a senior enterprise data leadership role within Vibrant ...

NY · On-site

$315 - $375/hr

Senior Vice President, Data Operations Location: New York, NY (Hybrid 3x a week in office, remote ... Establish enterprise data governance: ownership, lineage, cataloging, quality SLAs, privacy ...

... Data and AI Practice . This leader will be responsible for P&L management, business development ... The new VP must have a history of delivering high-quality work and building ongoing, trust-based ...

VP, Data Engineering

San Francisco, CA · On-site

$212K - $273K/yr

They will drive engineering excellence, strengthening execution to deliver high-quality data infrastructure at scale. Success in this role requires close partnership with the SVP of Software ...

VP, Data Engineering

San Francisco, CA · On-site

$212K - $273K/yr

They will drive engineering excellence, strengthening execution to deliver high-quality data infrastructure at scale. Success in this role requires close partnership with the SVP of Software ...

... Data and AI Practice . This leader will be responsible for P&L management, business development ... The new VP must have a history of delivering high-quality work and building ongoing, trust-based ...

VP, Data Platform and Knowledge Department: Data Employment Type: Full Time Location: Pittsburgh ... Implement and enforce data quality and governance standards that run by default, removing friction ...

VP, Data Engineering

Los Angeles, CA · On-site

$194K - $250K/yr

They will drive engineering excellence, strengthening execution to deliver high-quality data infrastructure at scale. Success in this role requires close partnership with the SVP of Software ...

Showing results 21-40

Vice President Data Quality information

See salary details

$43.5K

$157.5K

$277.5K

How much do vice president data quality jobs pay per year?

As of Aug 22, 2026, the average yearly pay for vice president data quality in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What is the difference between Vice President Data Quality vs Data Governance Manager?

AspectVice President Data QualityData Governance Manager
CredentialsBachelor's/Master's in Data Management, Business, or related fields; extensive experienceBachelor's/Master's in Data Management, Information Systems, or related fields; relevant certifications
Work EnvironmentExecutive leadership, strategic planning, cross-departmental collaborationOperational management, policy development, team oversight
Industry UsageUsed in large organizations to oversee data quality initiatives at a high levelCommon in organizations to implement data governance policies and procedures

The Vice President Data Quality focuses on strategic oversight of data accuracy and integrity at an executive level, while the Data Governance Manager handles the implementation of policies and day-to-day management of data standards. Both roles are essential but differ in scope and responsibilities.

What cities are hiring for Vice President Data Quality jobs?

Cities with the most Vice President Data Quality job openings:

What are the most commonly searched types of Data Quality jobs?

The most popular types of Data Quality jobs are:

What states have the most Vice President Data Quality jobs?

States with the most job openings for Vice President Data Quality jobs include:

Infographic showing various Vice President Data Quality job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

$228K - $240K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 16 days ago


Virginia Farm Bureau rating

9.4

Company rating: 9.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

14th of 311 rated insurance


Job description

POSITION TITLE: Vice President, Data & AI

STATUS: Exempt

COMPENSATION RANGE: $228,000 - $240,000 Annually with up to 20% annual bonus potential

LOCATION: Based out of our beautiful West Creek Office, located at 12580 West Creek Pkwy, Richmond, VA 23238.

REPORTS TO: Chief Technology Officer (CTO)


Position Summary

The Vice President of Data & AI is accountable for establishing, governing, and advancing Virginia Farm Bureaus enterprise data and analytics capabilities through a federated data strategy, while developing responsible artificial intelligence capabilities over time.

This role owns data as a strategic enterprise assetsetting standards, governance, platforms, and guardrailswhile enabling business domains to retain ownership and accountability for their data through defined Data Domain Councils and stewardship models. The VP ensures enterprise consistency, trust, and regulatory compliance without centralizing all data delivery or decision-making.

The VP of Data & AI partners closely with executive leadership, Enterprise Architecture, Cybersecurity, and business leaders to ensure data and AI investments deliver measurable value, scale responsibly, and align with Farm Bureau Techs platform-led operating model.


Key Responsibilities

Federated Data & AI Strategy

  • Define and execute a federated enterprise data and AI strategy that balances centralized standards and platforms with distributed domain ownership.
  • Establish clear enterprise data principles that empower business domains while ensuring enterprise-level trust, security, and interoperability.
  • Act as the executive accountable for data and AI outcomes across the enterprise, regardless of organizational placement.

Enterprise Data Governance & Stewardship

  • Own enterprise data governance frameworks, policies, standards, and oversight mechanisms.
  • Lead Data Governance Councils and domain-based stewardship models that assign clear data ownership within business areas.
  • Ensure consistent data definition, quality, classification, lineage, and lifecycle management across federated data domains.
  • Partner with Audit, Compliance, and Cybersecurity to ensure data practices meet regulatory and legal obligations.

Data Engineering & Shared Platforms

  • Lead enterprise data engineering and platform teams responsible for shared data infrastructure, integration, analytics tooling, and enablement.
  • Provide common, reusable data and analytics platforms that business domains leverage while maintaining ownership of their data products.
  • Ensure enterprise data platforms are scalable, resilient, secure, and aligned with enterprise architecture standards.

Artificial Intelligence Enablement (Federated by Design)

  • Establish enterprise AI governance, standards, and guardrails to support responsible and compliant AI use.
  • Enable business-led AI use cases through shared platforms, tooling, and policies rather than centralized solution ownership.
  • Guide prioritization of AI initiatives that deliver measurable business value and align with data readiness and governance maturity.

Executive Partnership & Enterprise Alignment

  • Serve as a strategic advisor to executive leadership on data, analytics, and AI opportunities, risks, and tradeoffs.
  • Partner closely with the Director, Enterprise Architecture to align data platforms, integration patterns, and AI capabilities with the broader technology ecosystem.
  • Translate complex data and AI topics into actionable guidance for leadership and business stakeholders.

Organization & Talent Leadership

  • Build, lead, and develop high-performing teams across Data Governance, Data Engineering, and AI functions.
  • Enable success of federated, business-embedded data resources through standards, coaching, and shared delivery models rather than direct control.
  • Foster a culture of accountability, collaboration, and enterprise-first thinking across centralized and federated teams.

Required Qualifications

  • Bachelors degree in Information Technology, Computer Science, Engineering, Data Science, or a related field; advanced degree preferred or equivalent experience.
  • 12+ years of progressive leadership experience in data, analytics, or technology roles with enterprise-scale responsibility.
  • Demonstrated experience delivering data platforms and governance in a federated or hybrid operating model.
  • Strong understanding of data architecture, analytics platforms, integration patterns, and data security/privacy requirements.
  • Experience operating in regulated environments such as insurance, financial services, or healthcare.
  • Proven ability to influence outcomes across business and technology leaders without relying solely on centralized authority.

Preferred Qualifications

  • Prior experience leading multiple teams or functions across governance, engineering, analytics, or AI.
  • Experience implementing federated data ownership models using councils, stewards, or domain-based accountability structures.
  • Experience establishing or scaling AI capabilities in an enterprise environment.
  • Familiarity with modern data cataloging, lineage, and governance tools used to support federated data strategies.

Key Competencies

  • Executive leadership and enterprise stewardship
  • Strong governance mindset balanced with enablement
  • Systems-level and platform-oriented thinking
  • Ability to influence and align federated teams
  • Translation of data and AI complexity into business value

Success Measures

  • Trusted, well-governed enterprise data assets across domains
  • High adoption of shared data platforms by federated teams
  • Improved data quality, consistency, and transparency enterprise-wide
  • Responsible, business-led AI use cases enabled by enterprise standards
  • Strong alignment between data, architecture, security, and business strategy

BENEFITS OVERVIEW

At VA Farm Bureau, we provide an exceptional benefits package, including ongoing job development and support in all roles, paid training and continuing education reimbursement, medical and dental insurance available on your first day, generous employee 401K contribution, excellent Paid Time off (PTO) plan and more!

Virginia Farm Bureau Companies provide equal employment opportunity in all aspects of employment without regard to race, color, national origin, religion, gender, pregnancy, age, disability, orientation or veteran status.


What Virginia Farm Bureau employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom