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Vice President Data Engineer Jobs in Ohio (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 ...

Search Connections

VP of Operations

Columbus, OH · On-site

$186K - $225K/yr

The Vice President of Operations is responsible for leading, directing, and overseeing the ... Bachelor's Degree in Business, or engineering preferred, or equivalent in relevant experience * A ...

Goosehead

Vice President - Marketing

Westlake, OH · On-site

The Vice President of Marketing leads Goosehead's customer-acquisition engine. This is a digital ... CDP, attribution, experimentation, MMM, and BI - including the data contracts with Data Engineering ...

Bread Financial

VP Cloud Platform Engineering

Columbus, OH

$173K - $224K/yr

The VP partners with executive leaders across engineering, architecture, cybersecurity, operations, data, product, and business functions to align platform investments with strategic business ...

Dayton Live

VP - Education

Dayton, OH

Purpose: The Vice President - Education will serve as department leader for all Education ... Contributing to the programming of the Discovery Series, as well as Family programming in ...

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Vice President Data Engineer information

See Ohio salary details

$107K

$205K

$378.9K

How much do vice president data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for vice president data engineer in Ohio is $204,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $171,100.00 and $220,600.00 per year, depending on experience, location, and employer.

What is the difference between Vice President Data Engineer vs Data Engineering Manager?

AspectVice President Data EngineerData Engineering Manager
CredentialsBachelor's/Master's in CS, Data Science, or related; extensive experienceBachelor's/Master's in CS or related; several years of data engineering experience
Work EnvironmentExecutive leadership, strategic planning, cross-department collaborationTeam management, project oversight, technical implementation
Industry UsageUsed in large organizations, tech companies, and enterprisesCommon in mid to large companies, tech firms, and startups

The Vice President Data Engineer focuses on strategic leadership, setting data engineering vision, and aligning data initiatives with business goals. In contrast, the Data Engineering Manager handles day-to-day team management, project execution, and technical oversight. Both roles require strong technical backgrounds, but the VP role emphasizes strategic influence and executive collaboration.

What are the most commonly searched types of Data Engineer jobs in Ohio?

The most popular types of Data Engineer jobs in Ohio are:

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Vice President Data Engineer jobs near you

VP-DATA/ANALYTICS & AI

Premier Health

Dayton, OH • On-site

Full-time

Posted 17 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

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