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Vice President Data Scientist Deep Learning Jobs

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 ...

Vice President, Data & Analytics

Columbus, OH · On-site +1

$173K - $224K/yr

Deep experience with medallion (bronze/silver/gold) architectures - efficicent load design, dedup ... Bachelor's degree in Data Science, Information Systems, Computer Science, or related field - or ...

The VP of Data Science & Analytics will lead experimentation, business intelligence, and advanced ... Deep knowledge of experimental design, causal inference, and statistical modeling. * Experience ...

Deep Expertise in Modern AI/ML * Extensive hands-on experience with LLMs, agentic architectures ... Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Applied ...

Deep Expertise in Modern AI/ML * Extensive hands-on experience with LLMs, agentic architectures ... Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Applied ...

Deep Expertise in Modern AI/ML * Extensive hands-on experience with LLMs, agentic architectures ... Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Applied ...

Build, lead, and develop an impactful data engineering organization with deep technical and ... Collaborate with Data Science, Analytics, Business Intelligence, Media, Technology, and Product ...

Build and scale the organization's AI/ML capabilities, including traditional ML, deep learning, NLP ... Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field ...

The ideal candidate will have deep experience in Critical Infrastructure/Data Center construction ... The VP of DCS, will serve as the key liaison between internal teams and external stakeholders ...

The Assistant Vice President, Data is a senior enterprise data leadership role within Vibrant ... Strong command of data science and machine learning:proficiencyin Python-based ML ecosystems ...

The scope is highly centered on mission critical execution and requires deep command of MEP systems ... The Vice President, Data Center Operations will play a central role in ensuring that facilities ...

Showing results 41-60

Vice President Data Scientist Deep Learning information

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$122.7K

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How much do vice president data scientist deep learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for vice president data scientist deep learning in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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Vice President, Data & AI

Virginia Farm Bureau

Henrico, VA • On-site

$228K - $240K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted yesterday


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 Bureaus 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 assetsetting standards, governance, platforms, and guardrailswhile 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 Techs 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

  • Bachelors 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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