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Vp Data & Analytics 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 ...

Advantage Solutions

VP Sales

Cincinnati, OH · On-site

$120 - $190/hr

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

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Vp Data Analytics information

See Ohio salary details

$31.4K

$77.5K

$133.1K

How much do vp data & analytics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for vp data & analytics in Ohio is $77,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $91,700.00 per year, depending on experience, location, and employer.

What are the main challenges faced by a VP Data & Analytics, and how are they addressed?

A VP Data & Analytics often faces challenges such as aligning data initiatives with overall business strategy, ensuring data quality and governance across diverse sources, and bridging the gap between technical teams and executive leadership. Addressing these challenges typically involves establishing robust data governance frameworks, promoting a data-driven culture, and continuously updating analytics strategies to reflect changing business needs. Collaboration with stakeholders from IT, operations, finance, and marketing is essential to gather requirements and ensure analytics efforts are driving measurable outcomes. By proactively managing these obstacles, a VP Data & Analytics helps unlock the full value of organizational data and supports sustainable business growth.

What are the key skills and qualifications needed to thrive as a VP Data & Analytics?

To thrive as a VP Data & Analytics, you need deep expertise in data strategy, analytics methodologies, data management, and a relevant advanced degree, often combined with significant leadership experience. Familiarity with data warehousing, visualization tools (such as Tableau or Power BI), programming languages (like Python, R, or SQL), and certifications in data management or analytics (e.g., Certified Analytics Professional, CDMP) are highly valued. Exceptional communication, business acumen, and the ability to lead cross-functional teams are crucial soft skills for this position. These competencies are vital to drive data-driven decision-making, shape business strategy, and foster a culture of analytics maturity within the organization.

What is a VP Data & Analytics?

A VP of Data & Analytics is a senior executive responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision-making. They lead data teams, implement data governance, and ensure the organization leverages data effectively to drive business growth. Their role typically involves collaborating with other executives, managing data infrastructure, and identifying opportunities for innovation through analytics.

What does a VP Data & Analytics do?

A VP of Data & Analytics oversees an organization’s data strategy, ensuring data collection, management, and analysis support business goals. They lead teams of data scientists and analysts, develop data-driven insights, and implement tools like data warehouses and analytics platforms. This role requires strong leadership, strategic thinking, and expertise in data management and analytics tools.

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

The most popular types of Data & Analytics jobs in Ohio are:

What are popular job titles related to Vp Data & Analytics jobs in Ohio?

For Vp Data & Analytics jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Vp Data & Analytics jobs in Ohio look for?

The top searched job categories for Vp Data & Analytics jobs in Ohio are:

What cities in Ohio are hiring for Vp Data & Analytics jobs?

Cities in Ohio with the most Vp Data & Analytics job openings:

Vp Data Analytics jobs near you
Infographic showing various Vp Data & Analytics job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $77,499 per year, or $37.3 per hour.

VP-DATA/ANALYTICS & AI

Premier Health

Dayton, OH • On-site

Full-time

Posted 16 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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