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Vice President Data Analytics Contract Jobs (NOW HIRING)

Vice President, Data amp; Analytics Products About OptimizeRx OptimizeRx is a leading healthcare technology company that's redefining how life science brands connect with patients and healthcare ...

Position Summary The Vice President, Market Data, Analytics & Insights is a high-impact role responsible for shaping andleading a best-in-class analytics capability that drives commercial performance ...

Job Overview The VP of Data & Analytics is the senior leader responsible for AGS's entire data strategy, data platform, and analytical capabilities. This role is responsible for end-to-end data ...

... analysis through reliable pipelines and tooling that support both real-time visibility and deep ... prior VP / Head of Data Engineering scope (or equivalent) • Proven ownership of data systems ...

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Vice President Data Analytics Contract information

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$101K

$183.5K

$367K

How much do vice president data analytics contract jobs pay per year?

As of Aug 9, 2026, the average yearly pay for vice president data analytics contract in the United States is $183,493.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,000.00 and $200,000.00 per year, depending on experience, location, and employer.

What is the difference between Vice President Data Analytics Contract vs Data Analytics Manager?

AspectVice President Data Analytics ContractData Analytics Manager
CredentialsAdvanced degrees (MBA, PhD), extensive experience in analytics leadershipBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentExecutive-level, strategic planning, often contract-based or project-specificOperational, team management, project execution within organizations
Employer & Industry UsageUsed by large corporations, consulting firms, and industries requiring high-level analytics leadershipCommon across industries for managing analytics teams and projects

The Vice President Data Analytics Contract typically involves high-level strategic responsibilities on a contractual basis, focusing on guiding analytics initiatives. In contrast, Data Analytics Managers oversee daily operations, manage teams, and execute projects. Both roles require strong analytics credentials, but the VP role emphasizes strategic leadership and often involves contract work, whereas the Manager role is more operational and permanent within organizations.

What cities are hiring for Vice President Data Analytics Contract jobs? Cities with the most Vice President Data Analytics Contract job openings:
What are the most commonly searched types of Vice President Data Analytics jobs? The most popular types of Vice President Data Analytics jobs are:
What states have the most Vice President Data Analytics Contract jobs? States with the most job openings for Vice President Data Analytics Contract jobs include:
What job categories do people searching Vice President Data Analytics Contract jobs look for? The top searched job categories for Vice President Data Analytics Contract jobs are:
Infographic showing various Vice President Data Analytics Contract job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $183,493 per year, or $88.2 per hour.

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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