Vice President Data Scientist Deep Learning Jobs in Virginia

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.

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.
• 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.

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.
• 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

• 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.