Vice President, Data & AI

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. Position Summary

The Vice President of Data & AI is accountable for establishing, governing, and advancing Virginia Farm Bureau’s 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 asset—setting standards, governance, platforms, and guardrails—while 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 Tech’s platform-led operating model.

• 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.

• 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.

• 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.

• 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.
• 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.
• 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.

• Bachelor’s 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…