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Credit Union Vp Analytics Jobs (NOW HIRING)

landmarkcu

VP, Analytics & AI

Brookfield, WI · On-site

At Landmark Credit Union, we succeed by putting people first - and that starts with you. Our ... The VP, Analytics and AI is responsible for defining and executing Landmark Credit Union ...

Align Credit Union

VP-Controller

Lowell, MA · On-site

$106K - $135K/yr

... Union's accounting and financial reporting functions. Reporting directly to the President & CEO, ... Allowance for Credit Losses / CECL Oversee the calculation, analysis, documentation, and ongoing ...

Align Credit Union

VP-Controller-Hybrid

Lowell, MA · On-site

$106K - $135K/yr

... Union's accounting and financial reporting functions. Reporting directly to the President & CEO, ... Allowance for Credit Losses / CECL Oversee the calculation, analysis, documentation, and ongoing ...

New

Horizon Credit Union

VP Marketing

Farmington, UT · On-site

$70K - $80K/yr

Horizon Credit Union promotes the financial well being of our members. We do so by having Trust ... Analyze market trends, member needs, competitor offerings, and industry developments to identify ...

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Credit Union Vp Analytics information

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$43.5K

$157.5K

$277.5K

How much do credit union vp analytics jobs pay per year?

As of Sep 10, 2026, the average yearly pay for credit union vp 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 credit union VP analytics do?

A Credit Union VP of Analytics oversees the data analytics and business intelligence functions within the credit union. They are responsible for turning data into actionable insights that inform strategic decision-making, improve member experience, and drive business growth. This role typically involves managing data teams, developing analytics strategies, implementing data governance policies, and collaborating with other departments to optimize products and services. The VP of Analytics also ensures compliance with data privacy regulations and leverages advanced analytics tools to identify trends and opportunities.

How does a credit union VP analytics typically collaborate with other departments to drive organizational goals?

A VP of Analytics at a credit union frequently works cross-functionally with departments such as lending, marketing, IT, and member services to identify opportunities for data-driven improvement. This role often leads strategic discussions, translating complex data insights into actionable recommendations that support initiatives like member acquisition, risk management, and product development. Regular collaboration ensures that analytics align with business objectives, promoting a culture of informed decision-making across the organization. Building strong partnerships with key stakeholders is essential to maximize the impact of analytics on credit union growth.

What are the key skills and qualifications needed to thrive as a credit union VP analytics, and why are they important?

To thrive as a Credit Union VP of Analytics, you need expertise in data analysis, financial modeling, and a solid background in statistics or a related field, often supported by an advanced degree. Familiarity with analytics platforms like SAS, SQL, Tableau, and data management systems is typically required, along with certifications such as Certified Analytics Professional (CAP) or related credentials. Strategic thinking, leadership, and effective communication are essential soft skills for translating insights into actionable business decisions and leading cross-functional teams. These competencies are critical for driving data-informed strategies that enhance member experience, operational efficiency, and overall organizational performance.

What is the difference between Credit Union Vp Analytics vs Credit Union Data Analyst?

AspectCredit Union Vp AnalyticsCredit Union Data Analyst
Required CredentialsBachelor's or Master’s in Data Science, Finance, or related field; often leadership experienceBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentStrategic leadership, overseeing analytics teams, collaborating with executivesOperational data analysis, reporting, and supporting decision-making
Employer & Industry UsageUsed in financial institutions, especially credit unions, for strategic insightsCommon in credit unions and banks for data reporting and analysis

The Credit Union Vp Analytics typically holds a leadership role with strategic responsibilities, requiring advanced credentials and experience. In contrast, the Credit Union Data Analyst focuses on operational data tasks, often with less experience and a more technical role. Both roles are vital in credit unions but differ in scope, seniority, and strategic impact.

What are popular job titles related to Credit Union Vp Analytics jobs?

For Credit Union Vp Analytics jobs, the most frequently searched job titles are:

Infographic showing various Credit Union Vp Analytics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 80% Full Time, and 19% Part Time. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

VP, Analytics & AI

Brookfield, WI • On-site

Landmark Credit Union
See more jobs at Landmark Credit Unionexternal

Full-time

Re-posted 7 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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