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Vice President Data Engineer Jobs in Virginia (NOW HIRING)

Omnicom

VP, Data Strategy & Insight

Williamsburg, VA · On-site

In addition, the VP, Data Strategy and Insights will leverage qualitative and quantitative insights to effectively communicate value and impact of Snow's core programming and offerings, through the ...

Centerline

Vice President Data Center

Richmond, VA · On-site +1

The Vice President(VP), - Data Center Services(DCS) will play a key leadership role in ensuring the ... Coordinate with estimating, engineering, and field teams to develop technical scopes of work and ...

Polar IT Services

AWS Data Engineer

Roanoke, VA · On-site +1

$112K - $134K/yr

AWS Data Engineer Location: Roanoke, VA (100% remote) Duration: 2-3 months with possible longer ... EVP This role can sit 100% remote in approved states. Also, may extend or could have the ...

H5 Data Centers

VP of Operations

Ashburn, VA · On-site

$180K - $230K/yr

As the VP of Operations for our colocation data centers, you will play a pivotal role in overseeing ... Interface with construction teams to engineer, propose, and build/ expand data centers. * Implement ...

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All JobsVice President Data Engineer JobsVice President Data Engineer Jobs in Virginia

Vice President Data Engineer information

See Virginia salary details

$111.5K

$213.7K

$395.1K

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

As of Aug 9, 2026, the average yearly pay for vice president data engineer in Virginia is $213,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $178,500.00 and $230,000.00 per year, depending on experience, location, and employer.

What is the difference between Vice President Data Engineer vs Data Engineering Manager?

AspectVice President Data EngineerData Engineering Manager
CredentialsBachelor's/Master's in CS, Data Science, or related; extensive experienceBachelor's/Master's in CS or related; several years of data engineering experience
Work EnvironmentExecutive leadership, strategic planning, cross-department collaborationTeam management, project oversight, technical implementation
Industry UsageUsed in large organizations, tech companies, and enterprisesCommon in mid to large companies, tech firms, and startups

The Vice President Data Engineer focuses on strategic leadership, setting data engineering vision, and aligning data initiatives with business goals. In contrast, the Data Engineering Manager handles day-to-day team management, project execution, and technical oversight. Both roles require strong technical backgrounds, but the VP role emphasizes strategic influence and executive collaboration.

What are the most commonly searched types of Data Engineer jobs in Virginia? The most popular types of Data Engineer jobs in Virginia are:
What are popular job titles related to Vice President Data Engineer jobs in Virginia? For Vice President Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Vice President Data Engineer jobs in Virginia look for? The top searched job categories for Vice President Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Vice President Data Engineer jobs? Cities in Virginia with the most Vice President Data Engineer job openings:
Vice President Data Engineer jobs near you

Vice President, Data & AI

Virginia Farm Bureau

Henrico, VA • On-site

$228K - $240K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 4 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

15th of 304 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.

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