ZipRecruiter

Log In

1

Vp Network Ai Jobs (NOW HIRING)

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data, analytics, and artificial intelligence to drive business and clinical value, foster a data-driven ...

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data, analytics, and artificial intelligence to drive business and clinical value, foster a data-driven ...

Countryway Insurance Co.

$228 - $240/hr

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 ...

New

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 to 20% annual bonus potential LOCATION: Based out of our beautiful West Creek Office, located at ...

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 to 20% annual bonus potential LOCATION: Based out of our beautiful West Creek Office, located at ...

previous page

Showing results 41-60

All JobsVp Network Ai Jobs

Vp Network Ai information

See salary details

$43.5K

$157.5K

$277.5K

How much do vp network ai jobs pay per year?

As of Aug 14, 2026, the average yearly pay for vp network ai in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What is the difference between Vp Network Ai vs Network Engineer?

AspectVp Network AiNetwork Engineer
Required CredentialsBachelor's in Computer Science, AI, or related field; often advanced certifications in AI or networkingBachelor's in Computer Science, Information Technology, or related field; certifications like CCNA or CCNP
Work EnvironmentStrategic leadership in tech companies, overseeing AI and network integration projectsHands-on technical work in data centers, corporate offices, or service providers
Employer & Industry UsageTech firms, AI startups, large enterprises integrating AI with networksTelecom, IT services, enterprise networking

The Vp Network Ai focuses on strategic leadership, overseeing AI-driven network solutions, while a Network Engineer handles the technical implementation and maintenance of network systems. Both roles require networking knowledge, but the VP role emphasizes management and AI integration, whereas the Network Engineer is more hands-on technical work.

What cities are hiring for Vp Network Ai jobs?

Cities with the most Vp Network Ai job openings:

What are the most commonly searched types of Network Ai jobs?

The most popular types of Network Ai jobs are:

What job categories do people searching Vp Network Ai jobs look for?

The top searched job categories for Vp Network Ai jobs are:

Vp Network Ai jobs near you
Infographic showing various Vp Network Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, and 7% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

VP-DATA/ANALYTICS & AI

Premier Health

Dayton, OH • On-site

Full-time

Posted 15 days ago

Job description

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data, analytics, and artificial intelligence to drive business and clinical value, foster a data-driven culture, and ensure effective governance and use of Premier's data assets and ecosystem. Reporting to the Chief Digital Information Officer (CDIO), the VP of Data, Analytics and AI leads the execution of Premier's enterprise data, analytics, and AI strategy and operating model, builds executive and Board-level trust in data as a strategic asset; operationalizes enterprise data governance in partnership with security, privacy, risk, and compliance leaders; and develops the talent and culture required to mature Premier's data and analytics capability.  This role will partner with senior leaders across Premier Health to understand their data needs and deliver tools to enable them to achieve their business, clinical and operational initiatives.

As a member of the DHT senior leadership team, the VP of Data, Analytics and AI leads day-to-day strategy execution, operating model design, and delivery for the data, analytics, and AI portfolio.  This role will work in close coordination with the CDIO's technology infrastructure, Epic platform governance, and cybersecurity functions to ensure a single, unified digital agenda to support the strategic initiatives of Premier Health.  The VP of Data, Analytics and AI also plays a leading role in building data governance and analytics infrastructure supporting Premier's Wright State University academic partnership and Academic Medical Center designation, consistent with priorities set by the organization.

Education: Bachelor's Degree in Business Administration, Computer Science, Data Science, Information Systems, Health Informatics, or a related field. Master's degree (e.g., MBA, MS Data Science, MS Health Informatics) preferred.

Licensure/Certification/Registration: None required; Certified Analytics Professional (CAP) or comparable data/AI governance certification preferred.

Experience: Minimum 10 to 15 years of progressive business experience, recently at or near the executive level such as Senior data, analytics, or business intelligence executive (e.g., VP/SVP Data & Analytics, Chief Analytics Officer, Chief AI Officer) with progressive leadership experience required. Must have experience with enterprise data & analytics strategy, data governance, AI enablement, and cross-functional program leadership. Preferred experience: Healthcare or health system experience; academic medical center or university-affiliated data governance experience; strategy or management consulting background.
Other experience requirements: 5 or more years of progressive leadership managing cross-functional, multidisciplinary data and analytics teams across a complex organization.

Knowledge/Skills:
      Enterprise data, analytics, and AI strategy development and execution, including policy development
      Data and analytics governance (master data management, data quality, data stewardship) and connected governance with privacy, security, and compliance functions
      Broad understanding of information architectures (data fabric, data mesh, data warehouse, data lake, data hub) and analytics approaches (descriptive, diagnostic, predictive, prescriptive)
      AI fundamentals, including AI-ready data practices, responsible/ethical AI use, and awareness of applicable healthcare regulations (e.g., HIPAA, information blocking rules, emerging state and federal AI regulation)
      Business and financial acumen; ability to translate data, analytics, and AI concepts into business and clinical outcomes and ROI
      Exceptional executive communication, storytelling, and stakeholder influence across clinical, operational, financial, and Board audiences
      Demonstrated leadership building and managing complex, multidisciplinary teams and driving enterprise-wide culture change
      Experience operating within a CIO/CDIO-led digital governance structure, and partnering effectively with CISO, Compliance, and Legal functions on data trust, security, and governance
      Statistical literacy (e.g., understanding the difference between correlation and causation) sufficient to guide analytically rigorous decision-making

Apply