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Vice President F1 Data Science Jobs in Virginia (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 ... Bachelor's degree in Information Technology, Computer Science, Engineering, Data Science, or a ...

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 ... Bachelors degree in Information Technology, Computer Science, Engineering, Data Science, or a ...

The VP must exercise sound judgment, manage competing priorities, solve complex problems, and ... Advanced degree, MBA, MPH, MS in Analytics/Data Science, or related graduate degree preferred. Or ...

The Vice President(VP), - Data Center Services(DCS) will play a key leadership role in ensuring the successful sourcing and delivery of complex infrastructure projects within the data center ...

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 ...

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 ...

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 ...

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 ...

... data, clinical research, digital health, privacy, governance, and life sciences innovation. The ... Vice President will report into the company's Global Legal and External Affairs function (to the ...

... data, clinical research, digital health, privacy, governance, and life sciences innovation. The ... Vice President will report into the company's Global Legal and External Affairs function (to the ...

... Data Security ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES: The Vice President, Client Services must be able to perform the following essential duties and functions: Conduct regular meetings with the ...

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Showing results 1-20

Vice President F1 Data Science information

What does a vice president F1 data science do?

A Vice President of F1 Data Science leads the data analytics and strategy efforts for a Formula 1 team or organization. They oversee the collection, analysis, and interpretation of massive datasets from car sensors, race simulations, and competitor analysis to inform race strategies and improve performance. This executive collaborates with engineers, strategists, and management to make data-driven decisions that can provide a competitive edge. Additionally, they are responsible for managing data science teams, setting departmental goals, and ensuring that advanced technologies like machine learning are effectively integrated into F1 operations.

What are the key skills and qualifications needed to thrive as a vice president F1 data science?

To excel as a Vice President F1 Data Science, you need extensive expertise in data analytics, statistical modeling, machine learning, and a strong educational background in data science, mathematics, or a related field. Familiarity with advanced analytics tools (like Python, R, SQL), big data platforms, and experience with motorsport telemetry or similar high-frequency data systems are essential. Strategic leadership, strong communication, and the ability to drive cross-functional collaboration set outstanding candidates apart. These skills empower effective data-driven decision-making, optimizing team performance and maintaining a competitive edge in the fast-paced Formula 1 environment.

How does a vice president F1 data science typically collaborate with technical and non-technical teams within a racing organization?

A Vice President of F1 Data Science plays a pivotal role in bridging the gap between data scientists, engineers, and business leaders. They work closely with technical teams to set data analysis strategies, oversee model development, and ensure accurate insights drive race strategy and car performance. On the non-technical side, they translate complex data findings into actionable recommendations for management and other stakeholders, ensuring alignment with broader organizational goals. This requires excellent communication skills and the ability to foster cross-functional collaboration to maximize the team's competitive advantage.

What is the difference between Vice President F1 Data Science vs Data Science Director?

AspectVice President F1 Data ScienceData Science Director
ResponsibilitiesStrategic leadership, overseeing multiple teams, setting data science vision for F1Managing data science projects, leading teams, implementing strategies within an organization
Required CredentialsAdvanced degrees in data science, analytics, or related fields; extensive experience in F1 or motorsport analyticsMaster's or PhD in data science, statistics, or related fields; significant industry experience
Work EnvironmentExecutive-level, cross-functional collaboration, high-pressure F1 environmentTeam management, project execution, collaboration with stakeholders

The Vice President F1 Data Science focuses on strategic leadership and high-level decision-making within the F1 industry, while the Data Science Director manages day-to-day project execution and team operations. Both roles require advanced credentials and industry experience, but the VP role emphasizes vision and strategy, whereas the Director role centers on project management and technical execution.

What cities in Virginia are hiring for Vice President F1 Data Science jobs?

Cities in Virginia with the most Vice President F1 Data Science job openings:

Vice President, Data & AI

Virginia Farm Bureau

Henrico, VA • On-site

$228K - $240K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 27 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 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.


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