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Vp Of Data Science Jobs in Virginia (NOW HIRING)

Virginia Farm Bureau

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 ... Science, or a related field; advanced degree preferred or equivalent experience. * 12+ years of ...

Virginia Farm Bureau

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 ... Science, or a related field; advanced degree preferred or equivalent experience. * 12+ years of ...

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 ... Bachelor's degree in computer science, Engineering, Business Administration, or other related field ...

H5 Data Centers

VP of Operations

Ashburn, VA · On-site

$138 - $230/hr

Salary Range: $180,000.00 To $230,000.00 Annually As the VP of Operations for our colocation data ... Bachelor's degree in computer science, Engineering, Business Administration, or other related field ...

H5 Data Centers

VP of Operations

Chantilly, VA · On-site

$180K - $230K/yr

As the VP of Operations for our colocation data centers, you will play a pivotal role in overseeing ... Bachelor's degree in computer science, Engineering, Business Administration, or other related field ...

H5 Data Centers, LLC

VP of Operations

Ashburn, VA · On-site

$180 - $230/hr

Salary Range: $180,000.00 To $230,000.00 Annually As the VP of Operations for our colocation data ... Bachelor's degree in computer science, Engineering, Business Administration, or other related field ...

Socket.dev

VP of Operations

Chantilly, VA · On-site

$180 - $260/hr

As the VP of Operations for our colocation data centers, you will play a pivotal role in overseeing ... Bachelor's degree in computer science, Engineering, Business Administration, or other related field ...

EmpowerHome Team

Vice President Of Marketing

Chantilly, VA · On-site

$100K - $150K/yr

The VP of Marketing will own the company's marketing strategy, lead-generation planning, marketing ... They should be comfortable studying data, developing campaigns, improving messaging, creating ...

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 ... The VP of DCS, will serve as the key liaison between internal teams and external stakeholders ...

zTrip VA

VP of Operations

Dulles, VA

$85K - $105K/yr

Vice President of OperationsLead Strategy. Drive Performance. Shape the Future of Transportation ... Analyze operational and financial data to identify growth opportunities and performance ...

EASTWOOD HOMES

VP of Sales

Richmond, VA · On-site

Why Apply as Vice President of Sales? This executive leadership role is responsible for shaping and executing the division's revenue growth strategy while leading a high-performing sales organization.

IBEX HC LLC

VP of Sales

Richmond, VA · On-site

Why Apply as Vice President of Sales? This executive leadership role is responsible for shaping and executing the division's revenue growth strategy while leading a high-performing sales organization.

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All JobsVp Of Data Science JobsVp Of Data Science Jobs in Virginia

Vp Of Data Science information

See Virginia salary details

$41.1K

$141.2K

$199.3K

How much do vp of data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for vp of data science in Virginia is $141,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $165,100.00 per year, depending on experience, location, and employer.

What is the difference between Vp Of Data Science vs Data Science Manager?

AspectVp Of Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project execution, mentoring data scientists
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in data science and leadershipRelevant experience in data science, leadership skills, often a master's degree
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningOperational, project-focused, team management within data science teams

The Vp Of Data Science holds a senior leadership role focused on strategic direction and organizational impact, while a Data Science Manager concentrates on managing teams and executing projects. Both roles require strong technical backgrounds, but the Vp's scope is broader, involving high-level decision-making and cross-functional collaboration.

What are some common challenges faced by a VP of Data Science when leading cross-functional teams?

A VP of Data Science often navigates challenges such as aligning data science initiatives with business goals, managing expectations across departments, and fostering effective communication between technical and non-technical stakeholders. Balancing the need for innovation with practical deliverables can be complex, especially when integrating data-driven insights into existing business processes. Successful VPs build strong relationships with product, engineering, and executive teams to ensure that data science projects deliver measurable value and support organizational growth.

What are the key skills and qualifications needed to thrive as a VP of Data Science?

To thrive as a VP of Data Science, you need deep expertise in statistical modeling, machine learning, and data analytics, backed by an advanced degree in a quantitative field and substantial leadership experience. Familiarity with tools such as Python, R, SQL, cloud platforms, and data visualization systems, as well as experience with data governance frameworks, is typically required. Exceptional communication, strategic vision, and the ability to mentor and lead cross-functional teams are vital soft skills in this role. These skills ensure the effective translation of data-driven insights into business strategies and foster innovation and alignment within the organization.

What does a VP of Data Science do?

A VP of Data Science is a senior executive responsible for leading an organization's data science strategy and teams. They oversee the development and implementation of data-driven solutions, manage data scientists and analysts, and collaborate with other business leaders to leverage data for strategic decision-making. Their role often includes setting the vision for data initiatives, ensuring the use of best practices in analytics and machine learning, and driving innovation through data. Additionally, they are responsible for aligning data science projects with overall business goals and ensuring measurable impact.
What are the most commonly searched types of Of Data Science jobs in Virginia? The most popular types of Of Data Science jobs in Virginia are:
What are popular job titles related to Vp Of Data Science jobs in Virginia? For Vp Of Data Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Vp Of Data Science jobs in Virginia look for? The top searched job categories for Vp Of Data Science jobs in Virginia are:
What cities in Virginia are hiring for Vp Of Data Science jobs? Cities in Virginia with the most Vp Of Data Science job openings:
Vp Of Data Science jobs near you
Infographic showing various Vp Of Data Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $141,238 per year, or $67.9 per hour.

Vice President, Data & AI

Virginia Farm Bureau

Henrico, VA • On-site

$228K - $240K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 7 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 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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