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Vp International Data Science Jobs (NOW HIRING)

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

Master's degree (e.g., MBA, MS Data Science, MS Health Informatics) preferred. Licensure ... P Data & Analytics, Chief Analytics Officer, Chief AI Officer) with progressive leadership ...

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

Master's degree (e.g., MBA, MS Data Science, MS Health Informatics) preferred. Licensure ... P Data & Analytics, Chief Analytics Officer, Chief AI Officer) with progressive leadership ...

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH

Master's degree (e.g., MBA, MS Data Science, MS Health Informatics) preferred. Licensure ... P Data & Analytics, Chief Analytics Officer, Chief AI Officer) with progressive leadership ...

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

Master's degree (e.g., MBA, MS Data Science, MS Health Informatics) preferred. Licensure ... P Data & Analytics, Chief Analytics Officer, Chief AI Officer) with progressive leadership ...

Lyra Health

VP of Data and AI

$251K - $346K/yr

This leader will build and manage world-class Data Engineering, Data Science, Data Analytics, AI ... VP) managing large, diverse technical teams. * Proven experience defining and executing a ...

AXS

VP, Data Engineering

San Francisco, CA

$212K - $273K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... Collaborate with Data Science, Product, Ticketing Strategy, Marketing, Finance, AEG, and other ...

Lyra Health

VP of Data and AI

Charleston, WV · Remote

$251K - $346K/yr

This leader will build and manage world-class Data Engineering, Data Science, Data Analytics, AI ... As a full-time VP of Data and AI, you will be employed by Lyra Health, Inc. The anticipated annual ...

AXS

VP, Data Engineering

San Francisco, CA · On-site

$212K - $273K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... Collaborate with Data Science, Product, Ticketing Strategy, Marketing, Finance, AEG, and other ...

AXS

VP, Data Engineering

Los Angeles, CA

$194K - $250K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... Collaborate with Data Science, Product, Ticketing Strategy, Marketing, Finance, AEG, and other ...

AXS

VP, Data Engineering

Los Angeles, CA · On-site

$194K - $250K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... Collaborate with Data Science, Product, Ticketing Strategy, Marketing, Finance, AEG, and other ...

Citigroup, Inc.

SVP Marketing Data Science

New York, NY · On-site

The SVP, Marketing Data Science is a highly experienced and senior role, and part of the larger Media Sciences team in the Client Org, reporting to the Head of Media Science. This role will primarily ...

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As of Aug 11, 2026, the average yearly pay for vp international data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.
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VP-DATA/ANALYTICS & AI

Premier Health

Dayton, OH • On-site

Other

This job post has expired today. Applications are no longer accepted.

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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