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Senior Vice President Data Analytics Jobs (NOW HIRING)

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH

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.

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

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.

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

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.

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

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.

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH

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.

CRH

Vice President, Data & Analytics

Atlanta, GA · On-site

Job Summary The Vice President of Data & Analytics is a senior executive responsible for defining and executing the enterprise data strategy to drive measurable business outcomes. This leader will ...

IMG Academy

VP, Data

Bradenton, FL · On-site

$180 - $280/hr

... data, analytics, and data science. Reporting directly to the SVP of Product, Data & Commercial Technology, this role is responsible for driving customer engagement, revenue growth, operational ...

New

IMG Academy

VP, Data (Bradenton)

Bradenton, FL · On-site

$125K - $160K/yr

... data, analytics, and data science. Reporting directly to the SVP of Product, Data & Commercial Technology, this role is responsible for driving customer engagement, revenue growth, operational ...

New

Meredith Corporation

NY · On-site

$315 - $375/hr

Senior Vice President, Data Operations Location: New York, NY (Hybrid 3x a week in office, remote ... Analytics Engineering. * Recruit and develop senior technical talent; create a team culture of ...

ZN001 Zeno US

Senior Vice President, Analytics

Chicago, IL · On-site

$160 - $235/hr

SVP, Data & Intelligence Do you enjoy building the systems, processes and teams that enable exceptional client work? Are you energized by helping analytics organizations scale through operational ...

New

Chubb

SVP, PRS - Data Science

Boston, MA · On-site

Responsibilities: As part of the North America Data & Analytics leadership team you will be ... A. and to the EVP, PRS Finance Product and Analytics Officer. As the SVP Data Scientist for ...

Omnicom

VP, Data Strategy & Insight

Williamsburg, VA · On-site

The VP, Data Strategy and Insights must be up-to-date and comfortable with changes in ... Provide senior oversight for data extraction, consolidation, analysis, visualization, dashboarding ...

CRH

Vice President, Data & Analytics

Atlanta, GA · Hybrid

Job Summary The Vice President of Data & Analytics is a senior executive responsible for defining and executing the enterprise data strategy to drive measurable business outcomes. This leader will ...

Five Guys

VP, Data Analytics and Insights

Alexandria, VA · On-site

Based at our office in Alexandria, VA, the Vice President - Data Analytics and Insights is a senior executive responsible for building and leading Five Guys' enterprise analytics capability. This new ...

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Senior Vice President Data Analytics information

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$101K

$183.5K

$367K

How much do senior vice president data analytics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior vice president data analytics in the United States is $183,493.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,000.00 and $200,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Vice President Data Analytics vs Data Analytics Director?

AspectSenior Vice President Data AnalyticsData Analytics Director
CredentialsAdvanced degrees (MBA, PhD), extensive experience in analytics leadershipBachelor's or Master's in Data Science, Analytics, or related fields
Work EnvironmentExecutive leadership, strategic planning, cross-departmental collaborationOperational management, project oversight, team leadership
Industry UsageCommon in large corporations, financial institutions, tech firmsFound in mid to large organizations across various industries
Search & Comparison IntentUnderstanding executive roles, strategic responsibilitiesOperational management, team leadership, project scope

The Senior Vice President Data Analytics typically holds a higher strategic and executive role, focusing on company-wide data strategies and leadership. The Data Analytics Director manages analytics teams and projects, executing strategies set by senior leadership. Both roles require strong analytics credentials, but the SVP is more involved in high-level decision-making and organizational impact.

What does a senior vice president data analytics do?

A Senior Vice President of Data Analytics is an executive leader responsible for overseeing an organization's data strategy, analytics operations, and data-driven decision-making processes. They lead teams that collect, analyze, and interpret large volumes of data to inform business strategy and drive growth. This role often involves collaborating with other senior leaders to identify business opportunities, improve efficiency, and ensure the company is leveraging data effectively. Additionally, they set data governance policies, manage advanced analytics initiatives, and may oversee the implementation of artificial intelligence or machine learning projects.

How does a senior vice president data analytics typically collaborate with other executive leaders within an organization?

A Senior Vice President of Data Analytics works closely with other executives, such as the CIO, CTO, and business unit leaders, to align data strategy with overall business objectives. This role often involves translating complex analytics insights into actionable recommendations for non-technical stakeholders, ensuring that data-driven decisions support company growth. Regular cross-functional meetings and strategic planning sessions are common, fostering a culture where data informs product development, marketing strategies, and operational improvements. Effective communication and leadership skills are essential for driving consensus and integrating analytics across departments.

What are the key skills and qualifications needed to thrive as a senior vice president data analytics?

To thrive as a Senior Vice President Data Analytics, you need a deep expertise in data strategy, statistical analysis, and large-scale data architecture, often supported by an advanced degree in a quantitative field and significant industry experience. Familiarity with tools like SQL, Python, data visualization platforms (e.g., Tableau, Power BI), and big data technologies, as well as relevant certifications, is typically required. Exceptional leadership, strategic thinking, and communication skills are vital for driving data initiatives and aligning analytics with business goals. These competencies enable effective data-driven decision-making and ensure analytics deliver measurable value across the organization.
What cities are hiring for Senior Vice President Data Analytics jobs? Cities with the most Senior Vice President Data Analytics job openings:
What are the most commonly searched types of Vice President Data Analytics jobs? The most popular types of Vice President Data Analytics jobs are:
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Senior Vice President Data Analytics jobs near you
Infographic showing various Senior Vice President Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $183,493 per year, or $88.2 per hour.

VP-DATA/ANALYTICS & AI

Premier Health

Dayton, OH

Full-time

Posted 8 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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