1

Vice President Insurance Technology Jobs in Virginia

Vice President, Data & AI

Henrico, VA · On-site

$228K - $240K/yr

REPORTS TO: Chief Technology Officer (CTO) Position Summary The Vice President of Data & AI is ... Experience operating in regulated environments such as insurance, financial services, or health ...

Vice President, Data & AI

Henrico, VA · On-site

$228K - $240K/yr

REPORTS TO: Chief Technology Officer (CTO) Position Summary The Vice President of Data & AI is ... Experience operating in regulated environments such as insurance, financial services, or health ...

Continuously evaluate tools, systems, and technologies to improve service delivery and operational ... Must possess a valid driver's license and be insurable under the company insurance policy. The pay ...

The Vice President of Clinical Performance, under direction of the Chief Medical Officer, is ... Maintains up-to-date knowledge of new information, capabilities, and technologies in value based ...

... technology solutions provider that transforms IT concepts into impactful solutions for federal ... We offer competitive pay, comprehensive health, dental, and vision insurance, paid life insurance ...

Showing results 21-40

Vice President Insurance Technology information

What is the difference between Vice President Insurance Technology vs Insurance Technology Manager?

AspectVice President Insurance TechnologyInsurance Technology Manager
ResponsibilitiesStrategic planning, executive decision-making, overseeing multiple teamsManaging daily operations, project execution, team supervision
Required CredentialsBachelor's/Master's in IT, Business, or related fields; extensive experienceBachelor's in IT or related field; relevant experience
Work EnvironmentExecutive-level, strategic focus, cross-department collaborationOperational, project-focused, team management
Industry UsageCommon in large insurance companies and corporationsFound in insurance firms of various sizes, more tactical role

The Vice President Insurance Technology holds a strategic, executive role focused on long-term planning and leadership, while the Insurance Technology Manager handles daily operations and project management. Both roles require strong IT credentials, but the VP position involves broader responsibilities and higher-level decision-making within the insurance industry.

What are the most commonly searched types of Insurance Technology jobs in Virginia?

The most popular types of Insurance Technology jobs in Virginia are:

What cities in Virginia are hiring for Vice President Insurance Technology jobs?

Cities in Virginia with the most Vice President Insurance Technology job openings:

Vice President, Data & AI

Virginia Farm Bureau

Henrico, VA • On-site

$228K - $240K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 14 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 310 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 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.


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

  • 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 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