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Vp Data Jobs in Ohio (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

VP Sales

Cincinnati, OH · On-site

$217K/yr

VP Sales Job Locations US-OH-Cincinnati Primary Posting Location : City Cincinnati Primary Posting ... data to analyze and identify consumer and marketplace trends/opportunities to enhance the go-to ...

New

VP Sales

Cincinnati, OH

$161K - $217K/yr

Vice President of Sales At our Company, we grow People, Brands, and Businesses! We are seeking a ... data to analyze and identify consumer and marketplace trends/opportunities to enhance the go-to ...

New

The VP Insights and Data Governance role is responsible for leadingmultiple functions/work streams/ teams to deliver diverse set of initiatives to provide key drivers and analysis on entire suite of ...

The VP Insights and Data Governance role is responsible for leadingmultiple functions/work streams/ teams to deliver diverse set of initiatives to provide key drivers and analysis on entire suite of ...

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Showing results 1-20

Vp Data information

See Ohio salary details

$41.4K

$149.8K

$263.8K

How much do vp data jobs pay per year?

As of Aug 6, 2026, the average yearly pay for vp data in Ohio is $149,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $180,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a VP of Data, and why are they important?

To thrive as a VP of Data, you need advanced expertise in data analytics, data strategy, and leadership, typically supported by a degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop and Spark), cloud data solutions, and certifications in data management or analytics tools are highly valued. Strategic vision, strong communication, and the ability to lead cross-functional teams are standout soft skills. These competencies are crucial for aligning data initiatives with business objectives, ensuring data governance, and driving organizational growth.

How does a VP of Data typically collaborate with other departments to drive business value?

A VP of Data works closely with leaders across departments such as product, marketing, finance, and IT to align data strategies with broader business goals. They facilitate cross-functional projects, ensuring that data insights inform decision-making and support company objectives. Regular communication and collaboration are essential, as the VP of Data often leads data governance initiatives and helps teams leverage analytics to solve real-world business challenges.

What does a VP of Data do?

A VP of Data is responsible for overseeing an organization's data strategy, management, and analytics initiatives. They lead teams of data scientists, analysts, and engineers to ensure data is collected, stored, and utilized effectively to drive business decisions. Their role often includes setting data governance policies, ensuring compliance with regulations, and collaborating with other departments to support company objectives. Additionally, they evaluate and implement new technologies to enhance data capabilities and provide strategic insights to senior leadership.
What are the most commonly searched types of Data jobs in Ohio? The most popular types of Data jobs in Ohio are:
What are popular job titles related to Vp Data jobs in Ohio? For Vp Data jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Vp Data jobs? Cities in Ohio with the most Vp Data job openings:
Infographic showing various Vp Data job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $149,765 per year, or $72 per hour.

VP-DATA/ANALYTICS & AI

Premier Health

Dayton, OH • On-site

Other

Posted 7 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