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Vice President Analytics Jobs in Wisconsin (NOW HIRING)

Landmark Credit Union

VP, Analytics & AI

Brookfield, WI · On-site

The VP, Analytics and AI is responsible for defining and executing Landmark Credit Union's enterprise data, analytics, and artificial intelligence strategy to improve member experience, operational ...

landmarkcu

VP, Analytics & AI

Brookfield, WI · On-site

The VP, Analytics and AI is responsible for defining and executing Landmark Credit Union's enterprise data, analytics, and artificial intelligence strategy to improve member experience, operational ...

Hammes

WI · On-site

$180 - $240/hr

The Vice President must be able to manage projects of greater scope and complexity. This position ... Performing site analysis and investigations. * Develops, maintains and adheres to detailed ...

Trade Station Group, Inc.

WI · On-site

$244 - $279/hr

What We Are Looking For: We're seeking a hands‑on VP, Enterprise Data & Analytics to own and lead TradeStation's data science, analytics, and data product functions end to end -- and to make data ...

Aspirus, Inc

WI · On-site

$180 - $240/hr

Additionally, maintains in-depth knowledge of healthcare topics and emerging trends, patient care practices, technology, and analytics. The VP, System Nursing Operations is a leader who serves as a ...

ASPIRUS HEALTH

VP - TERTIARY SERVICES

Wausau, WI · On-site

The Vice President (VP),Tertiary Services will provide strategic vision, leadership, direction, and ... Skill in analyzing situations accurately and taking effective actions. * Skill in establishing and ...

Centrichealth

WI · On-site

$150 - $250/hr

VP of Business Development (Home Health & Hospice) Return to Careers Page Return to CentricHealth ... Analyze market trends, competitive intelligence, and regulatory changes to guide strategic ...

ASPIRUS HEALTH

VP- SYSTEM NURSING OPERATIONS

Wausau, WI · On-site

Additionally, maintains in-depth knowledge of healthcare topics and emerging trends, patient care practices, technology, and analytics. The VP, System Nursing Operations is a leader who serves as a ...

AgSource

Vice President, Transformation

Madison, WI · On-site

The Vice President, Transformation is accountable for driving execution of URUS' highest-priority ... Partner closely with Finance/FP&A to align transformation reporting with financial and operational ...

Urus

Vice President, Transformation

Madison, WI · On-site

The Vice President, Transformation is accountable for driving execution of URUS' highest-priority ... Partner closely with Finance/FP&A to align transformation reporting with financial and operational ...

Farm Systems

Vice President, Transformation

Madison, WI · On-site

The Vice President, Transformation is accountable for driving execution of URUS' highest-priority ... Partner closely with Finance/FP&A to align transformation reporting with financial and operational ...

AgSource

Vice President, Transformation

Madison, WI

The Vice President, Transformation is accountable for driving execution of URUS' highest-priority ... Partner closely with Finance/FP&A to align transformation reporting with financial and operational ...

Osaic

Vice President, Advisory Consulting

Milwaukee, WI · On-site

$140K - $175K/yr

The Vice President, Advisory Consulting is responsible for leading the field-based regional sales ... Use analytics to refine territory strategies and improve advisor penetration within regions.

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Showing results 1-20

All JobsVice President Analytics JobsVice President Analytics Jobs in Wisconsin

Vice President Analytics information

See Wisconsin salary details

$43.9K

$159K

$280.1K

How much do vice president analytics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for vice president analytics in Wisconsin is $159,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $191,800.00 per year, depending on experience, location, and employer.

What does a vice president of analytics do?

A Vice President of Analytics leads an organization's data analytics strategy and oversees teams that analyze data to support business decisions. This role involves managing data collection, ensuring data quality, and transforming data into actionable insights for various departments. The VP of Analytics collaborates with executives to align analytics initiatives with company goals and often plays a key role in digital transformation projects. They also supervise the development of analytical models, reporting tools, and dashboards that help drive business growth.

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

To thrive as a Vice President of Analytics, you need deep expertise in data analysis, business intelligence, and strategic decision-making, usually backed by an advanced degree in a quantitative field. Familiarity with analytics platforms such as Tableau, SQL, Python, and experience with big data tools and cloud systems are commonly required, along with certifications like Certified Analytics Professional (CAP). Strong leadership, communication, and stakeholder management skills set top performers apart in this role. These competencies drive data-driven strategies that enhance business growth and ensure effective team leadership and cross-functional collaboration.

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

A Vice President of Analytics frequently partners with leaders from departments such as marketing, product development, finance, and operations to align data-driven insights with organizational goals. This role involves translating complex analytical findings into actionable strategies that support decision-making across the business. Regular cross-functional meetings, data workshops, and strategic planning sessions are common, ensuring analytics initiatives are embedded in the company's broader objectives. Effective communication and stakeholder management are key, as the VP of Analytics must bridge the gap between technical teams and executive leadership.

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

AspectVice President AnalyticsDirector of Data Analytics
ResponsibilitiesStrategic leadership, setting analytics vision, overseeing multiple teamsManaging analytics projects, leading data teams, implementing analytics solutions
Required CredentialsAdvanced degree (MBA, Master’s), extensive experience in analytics leadershipBachelor’s or Master’s in Data Science, Analytics, or related field
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project execution, technical analysis
Industry UsageCommon in large organizations, corporate strategy rolesPrevalent in mid to large companies, analytics departments

The Vice President Analytics typically holds a higher strategic leadership role, overseeing the entire analytics function and aligning it with business goals. The Director of Data Analytics focuses more on managing analytics teams and executing data projects. Both roles require strong analytical credentials, but the VP role emphasizes strategic vision and executive decision-making.

What are the most commonly searched types of Analytics jobs in Wisconsin?

The most popular types of Analytics jobs in Wisconsin are:

What are popular job titles related to Vice President Analytics jobs in Wisconsin?

For Vice President Analytics jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Vice President Analytics jobs in Wisconsin look for?

The top searched job categories for Vice President Analytics jobs in Wisconsin are:

Vice President Analytics jobs near you
Infographic showing various Vice President Analytics job openings in Wisconsin as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $159,005 per year, or $76.4 per hour.

VP, Analytics & AI

Landmark Credit Union

Brookfield, WI • On-site

Full-time

Posted 15 days ago

Landmark Credit Union rating

9.0

Company rating: 9.0 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

At Landmark Credit Union, we succeed by putting people first - and that starts with you. Our culture of inclusion and collaboration enables us to support our members' financial wellbeing, positively impact the communities we serve, and help our associates grow their careers. Bring your authentic self to work as part of an organization where you'll feel valued for your unique qualities, are enabled to reach your full potential, and are recognized for your contributions to our success. We strive to ensure you feel empowered to grow and succeed, while also feeling valued and taken care of, as we all do our part to put people first. We invite you to learn more about this and other opportunities at Landmark Credit Union.
NATURE AND SCOPE:
The VP, Analytics and AI is responsible for defining and executing Landmark Credit Union's enterprise data, analytics, and artificial intelligence strategy to improve member experience, operational efficiency, business decision-making, and risk management. This position leads the development of modern data and analytics capabilities, including business intelligence, advanced analytics, machine learning, automation, and responsible AI practices. The VP, Analytics and AI partners closely with IT, Digital, Lending, Finance, Risk, Marketing, Operations, and other business leaders to identify high-value opportunities, deliver actionable insights, and ensure data and AI investments support enterprise strategy, regulatory expectations, and measurable business outcomes. This role reports to the Chief Technology Officer and leads the Enterprise Analytics and AI function, including BI/reporting, data science, and AI/automation teams.
REQUIREMENTS:
  1. Bachelor's degree required in a quantitative, technical, or related field such as Data Science, Computer Science, Statistics, Mathematics, Economics, Information Systems, or a comparable discipline; advanced degree preferred.
  2. A minimum of 10 years of progressive experience in analytics, data science, business intelligence, data leadership, or related roles, including several years leading enterprise-level teams and capabilities.
  3. Proven experience defining and executing enterprise data, analytics, and AI strategies that deliver measurable business outcomes, preferably within a regulated industry such as financial services.
  4. Strong understanding of data modeling, analytics techniques, machine learning concepts, modern data platforms, data pipelines, business intelligence tools, and AI-enabled solutions.
  5. Hands-on familiarity with modern data and AI tools and technologies, including SQL, Python or R, cloud data platforms, and BI tools such as Power BI or Tableau.
  6. Experience establishing data governance, data quality, privacy, security, model governance, and responsible AI practices in partnership with Risk, Compliance, Audit, Information Security, and business stakeholders.
  7. Demonstrated ability to build, lead, develop, and retain high-performing analytics, BI, data science, and AI teams.
  8. Strong executive communication, stakeholder management, and change leadership skills, including the ability to present complex data, analytics, AI, value realization, risk considerations, and investment needs to executive leadership and the Board.
  9. Must develop a thorough understanding of company policies and procedures as they relate to this position. Must understand and comply with all job-related State and Federal laws and regulations.

PRINCIPAL ACCOUNTABILITIES:
  1. Define and execute a multi-year enterprise analytics and AI roadmap aligned to organizational strategy, digital transformation objectives, and regulatory expectations.
  2. Identify, evaluate, and prioritize high-impact analytics and AI use cases across member engagement, pricing, fraud and risk management, operations automation, marketing personalization, and other enterprise opportunities.
  3. Partner with IT leadership to design, evolve, and govern modern data platforms, including data lake, data warehouse, real-time data pipelines, business intelligence tools, and self-service analytics capabilities.
  4. Establish, own, and mature enterprise data governance policies, data quality standards, stewardship practices, and controls that support privacy, security, compliance, and trusted data usage.
  5. Lead teams responsible for business intelligence, reporting, advanced analytics, data science, AI, and automation, ensuring delivery of actionable insights and decision-support tools for executives, business leaders, and frontline managers.
  6. Oversee the development of dashboards, models, analytics products, and recommendations that translate complex data into clear narratives, business insights, and measurable actions.
  7. Build and scale AI and automation capabilities, such as recommendation engines, intelligent routing, chatbots, document processing, claims processing, and marketing personalization, to enhance member experience and operational efficiency.
  8. Define and enforce responsible AI practices, including model governance, model monitoring, bias management, explainability, human-in-the-loop controls, and appropriate collaboration with Risk and Compliance.
  9. Serve as the primary analytics and AI partner to leaders across Lending, Retail, Digital, Marketing, Finance, Risk, Operations, and other business areas, helping teams use data and AI to drive better decisions and outcomes.
  10. Communicate analytics and AI strategy, priorities, results, risks, investment needs, and value realization clearly to leadership and governance forums.
  11. Build and lead high-performing analytics, BI, data science, and AI organizations; attract, develop, coach, and retain talent capable of supporting enterprise needs.
  12. Foster a culture of data-driven decision-making, innovation, responsible experimentation, and practical adoption of data and AI across the organization.
  13. Define KPIs and success measures for analytics and AI initiatives and regularly measure and report business impact, including member growth, member experience, efficiency gains, risk reduction, and financial value.
  14. Manage analytics and AI budgets, platforms, tools, vendors, staffing plans, and portfolio priorities to ensure investments deliver measurable value.
  15. Perform other duties as assigned.

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