Vice President, Data & AI

Virginia Farm Bureau; United States; On-site; USD 228,000 - 240,000; Full time

Benefits offered by this job

Job development

Training reimbursement

Medical & dental insurance

401K contribution

PTO plan

Job summary

Virginia Farm Bureau seeks a strategic Vice President Data & AI to lead enterprise data governance and federated analytics across the organization from the Richmond, VA office. You will set standards, guardrails, and stewardships while partnering with executive leadership to unlock measurable business value from data and AI.

You will build and empower federated teams, champion responsible AI and scale platforms, balancing centralized governance with domain ownership to drive trusted data assets

Qualifications

• Bachelor's degree in Information Technology, Computer Science, Engineering, Data Science, or related field.
• 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.

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.

Education

Bachelor's degree in Information Technology Computer Science Engineering Data Science

Job description

POSITION TITLE Vice President Data & AI STATUS Exempt COMPENSATION RANGE 228000 240000 Annually 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 securityprivacy 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

• 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

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