1

Evp Data Analytics Jobs (NOW HIRING)

Vice President, Data & AI

Henrico, VA · On-site

$228K - $240K/yr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Serve as a strategic advisor to executive leadership on data, analytics, and AI opportunities ...

Vice President, Data & AI

Henrico, VA · On-site

$228K - $240K/yr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Serve as a strategic advisor to executive leadership on data, analytics, and AI opportunities ...

Data and Analytics Job Subfunction: Data Strategy and Governance The Vice President (VP) of Data ... Expertise in data visualization, business intelligence, dashboarding, and executive-level data ...

Their client, an investment firm, is seeking a VP of Data Analytics to lead data architecture development, collaborate with stakeholders, and ensure compliance with data governance policies.

Vice President, Data amp; Analytics Products About OptimizeRx OptimizeRx is a leading healthcare ... Executive Leadership * Represent OptimizeRx with customers, strategic partners, and industry ...

VP, Data and Analytics

Frisco, TX · On-site

$159K - $287K/yr

The VP, Data and Analytics is accountable for the full lifecycle of Magellan Health's enterprise ... Build and present investment business cases to CIO and executive leadership. (10%) The job duties ...

$200 - $250/hr

Executive Vice President (EVP) for Finance Summary of Job Responsibilities The Southcentral Foundation (SCF) Executive Vice President (EVP) for Finance reports directly to the President/CEO. The ...

Executive Vice President (EVP) for Finance Summary of Job Responsibilities: The Southcentral Foundation (SCF) Executive Vice President (EVP) for Finance reports directly to the President/CEO. The ...

Showing results 21-40

Evp Data Analytics information

See salary details

$153K

$178.7K

$202K

How much do evp data analytics jobs pay per year?

As of Sep 9, 2026, the average yearly pay for evp data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

What does an EVP of Data Analytics do?

An Executive Vice President (EVP) of Data Analytics is a senior leader responsible for overseeing an organization’s data analytics strategy and operations. They guide the collection, analysis, and interpretation of large data sets to inform business decisions and drive growth. This role involves collaborating with other executives, managing analytics teams, and ensuring the use of best practices and technologies to maximize data value. The EVP of Data Analytics plays a key role in shaping the company’s data-driven culture and aligning analytics initiatives with business goals.

What are the key skills and qualifications needed to thrive as an EVP of Data Analytics?

To thrive as an EVP of Data Analytics, you need deep expertise in data science, statistical analysis, and business strategy, typically supported by an advanced degree in a quantitative field. Familiarity with big data platforms (such as Hadoop or Spark), business intelligence tools (like Tableau or Power BI), and relevant certifications in data analytics or management are highly valued. Strategic vision, leadership, and strong communication skills are crucial for driving organizational change and influencing stakeholders. These skills ensure that data-driven insights translate into actionable business strategies, maximizing value and competitive advantage for the organization.

What are some common challenges faced by an EVP of Data Analytics when implementing company-wide data strategies?

As an EVP of Data Analytics, one common challenge is aligning diverse business units around a unified data strategy, especially when teams have varying levels of data maturity and different priorities. Gaining executive buy-in, ensuring data governance, and managing change across the organization require strong leadership and communication skills. Additionally, balancing long-term innovation with quick wins, while fostering a culture of data-driven decision making, can be complex but is essential for success in this role.

What is the difference between Evp Data Analytics vs Data Analyst?

AspectEvp Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; often certifications in data toolsBachelor's in relevant field; certifications like Microsoft Excel, SQL often preferred
Work EnvironmentCorporate or consulting firms; focus on strategic data insightsVaries from corporate to tech; primarily data processing and reporting
Employer & Industry UsageUsed in marketing, finance, healthcare for strategic decision-makingCommon across industries for data reporting and analysis

While both roles involve data analysis, Evp Data Analytics typically focuses on strategic insights and advanced analytics within organizations, often requiring specialized certifications. Data Analysts perform more routine data processing and reporting tasks. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Evp Data Analytics jobs?

For Evp Data Analytics jobs, the most frequently searched job titles are:

Infographic showing various Evp Data Analytics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $178,749 per year, or $85.9 per hour.

Vice President, Data & AI

Henrico, VA • On-site

Virginia Farm Bureau
501 - 1,000 employees

$228K - $240K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 4 days ago


Key responsibilities

  • Define and execute a federated enterprise data and AI strategy that balances centralized standards with distributed domain ownership.

  • Own enterprise data governance frameworks, policies, standards, and oversight mechanisms, and lead Data Governance Councils and stewardship models.

  • Lead enterprise data engineering and platform teams responsible for shared data infrastructure, integration, analytics tooling, and enablement.


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 315 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