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Vice President Of Data Analytics Jobs (NOW HIRING)

AGS

VP of Data & Analytics

Las Vegas, NV · On-site

Job Overview The VP of Data & Analytics is the senior leader responsible for AGS's entire data strategy, data platform, and analytical capabilities. This role is responsible for end-to-end data ...

PlayAGS, Inc.

VP of Data & Analytics

Las Vegas, NV · On-site

$260 - $320/hr

The VP of Data & Analytics is the senior leader responsible for AGS's entire data strategy, data platform, and analytical capabilities. This role is responsible for end-to-end data ownership across ...

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 ...

POLYWOOD

VP of Data & Analytics

Syracuse, IN · On-site

The Role The VP of Data & Analytics is POLYWOOD's senior data leader, responsible for the people, platforms, and practices that turn raw data into business advantage. You'll own the enterprise data ...

Marlabs

VP of Strategic Services

Dallas, TX · On-site

... AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the ... VP of Strategic Services | About You As a VP of Strategic Services, you are a strategic ...

Countryway Insurance Co.

$228 - $240/hr

  • Medical

  • Dental

  • Retirement

  • PTO

Position Summary The Vice President of Data & AI is accountable for establishing, governing, and advancing Virginia Farm Bureau's enterprise data and analytics capabilities through a federated data ...

Virginia Farm Bureau

Vice President, Data & AI

Henrico, VA

$228K - $240K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Chief Technology Officer (CTO) Position Summary The Vice President of Data & AI is accountable for establishing, governing, and advancing Virginia Farm Bureaus enterprise data and analytics ...

Countryway Insurance Co.

Vice President, Data & AI

Richmond, VA · On-site

$228 - $240/hr

  • Medical

  • Dental

  • Retirement

  • PTO

Position Summary The Vice President of Data & AI is accountable for establishing, governing, and advancing Virginia Farm Bureau's enterprise data and analytics capabilities through a federated data ...

Marlabs

VP of Strategic Services (Remote)

Dallas, TX · Remote

... AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the ... VP of Strategic Services | About You As a VP of Strategic Services, you are a strategic ...

Strategic Legal Practices

VP of Data Engineering

Los Angeles, CA · On-site

$180K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Summary The Vice President of Data is responsible for building and leading the firm's data strategy, analytics, and reporting infrastructure to support legal operations, firm leadership, and ...

IMG Academy

VP, Data

Bradenton, FL · On-site

$180 - $280/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The VP owns the strategy, execution, and evolution of the enterprise data roadmap, overseeing data infrastructure, business intelligence, analytics, and data science capabilities that enable ...

CRH

Vice President, Data & Analytics

Atlanta, GA · Hybrid

  • Medical

  • Dental

  • Retirement

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 ...

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Vice President Of Data Analytics information

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$43.5K

$157.5K

$277.5K

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

As of Aug 19, 2026, the average yearly pay for vice president of data analytics in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What does a vice president of data analytics do?

A Vice President of Data Analytics is a senior executive responsible for overseeing an organization's data strategy and analytics initiatives. They lead teams that collect, analyze, and interpret large volumes of data to support business decision-making. This role involves collaborating with other executives to align data initiatives with company goals, ensuring data quality and security, and implementing advanced analytics tools and methodologies. Additionally, they play a key role in promoting a data-driven culture and driving innovation through insights derived from data.

How does a vice president of data analytics typically collaborate with other departments to drive business strategy?

A Vice President of Data Analytics regularly partners with leaders from departments such as marketing, finance, operations, and IT to identify key business questions and translate them into actionable data insights. This role often leads cross-functional teams to align data initiatives with strategic objectives, ensuring that analytics solutions directly support organizational goals. Effective collaboration involves regular meetings, clear communication of complex data concepts, and the ability to advocate for data-driven decision-making throughout the company. Building strong relationships with department heads is crucial for prioritizing analytics projects that have the greatest business impact.

What are the key skills and qualifications needed to thrive as a vice president of data analytics, and why are they important?

To thrive as a Vice President of Data Analytics, you need deep expertise in data science, analytics strategy, and business intelligence, typically backed by an advanced degree in a quantitative field and significant leadership experience. Mastery of tools such as SQL, Python, R, and data visualization platforms (e.g., Tableau, Power BI), along with familiarity with cloud data ecosystems and certifications in analytics or big data, is common. Exceptional communication, strategic thinking, and the ability to influence and collaborate across departments are crucial soft skills. These competencies enable effective data-driven decision-making, foster innovation, and ensure alignment between analytics initiatives and organizational goals.

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What are the most commonly searched types of Of Data Analytics jobs?

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Vice President Of Data Analytics jobs near you
Infographic showing various Vice President Of Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

Vice President of Data Analytics

EmergencyMD

Springfield, IL • On-site

Other

Posted 13 days ago

Job description

Heartland Credit Union – Vice President of Data Analytics

Heartland Credit Union is seeking a forward-thinking Vice President of Data Analytics to lead the organization's enterprise data strategy and transform data into actionable business intelligence. This role will partner closely with executive leadership to deliver insights that improve member experience, drive growth, support strategic decision making, and enhance operational performance. The VP will oversee enterprise reporting, dashboard development, data governance, business intelligence initiatives, predictive analytics, and the advancement of modern cloud-based analytics capabilities.

The ideal candidate will have 5-8+ years of experience in data analytics, business intelligence, financial analytics, or enterprise reporting, with strong experience working directly with executive leadership. Candidates should possess expertise in Power BI, SQL, Tableau, cloud-based data environments, and financial services data ecosystems. Experience within a credit union, banking or fintech environment is strongly preferred. A bachelor's degree in Analytics, Business, Finance, Statistics, Computer Science or a related field is required, while advanced degrees and industry certifications in analytics, cloud technologies, project management, or data engineering are preferred.

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