ZipRecruiter

Log In

1

Vice President Analytics Director Jobs (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 ...

Horizon Media

EVP, Analytics

New York, NY · On-site

The EVP will translate complex analytics into actionable business strategies, helping to advance ... Analytic Insight teams (Direct Reports) - immersed in client business strategy and execution

landmarkcu

VP, Analytics & AI

Brookfield, WI

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 ...

ZN001 Zeno US

Senior Vice President, Analytics

Chicago, IL · On-site

$160K - $235K/yr

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 ...

Banc of California

VP, Analytics Engineering

Santa Ana, CA · On-site

$58.17 - $97.12/hr

THE OPPORTUNITY The VP, Analytics Engineering will lead the design and delivery of enterprise data products on the bank's Data Foundation Platform. Reporting to the VP, Data Engineering & Delivery ...

Banc of California

VP, Analytics Engineering

Santa Ana, CA

$187K - $241K/yr

THE OPPORTUNITY The VP, Analytics Engineering will lead the design and delivery of enterprise data products on the bank's Data Foundation Platform. Reporting to the VP, Data Engineering & Delivery ...

Banc of California

VP, Analytics Engineering

Durham, NC

$173K - $224K/yr

THE OPPORTUNITY The VP, Analytics Engineering will lead the design and delivery of enterprise data products on the bank's Data Foundation Platform. Reporting to the VP, Data Engineering & Delivery ...

previous pagenext page

Showing results 21-40

All JobsBusiness JobsBusiness Services JobsManagement Analyst JobsVice President Analytics Director Jobs

Vice President Analytics Director information

See salary details

$43.5K

$157.5K

$277.5K

How much do vice president analytics director jobs pay per year?

As of Sep 11, 2026, the average yearly pay for vice president analytics director 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 is the difference between Vice President Analytics Director vs Analytics Manager?

AspectVice President Analytics DirectorAnalytics Manager
ResponsibilitiesStrategic leadership, setting analytics vision, overseeing multiple teamsManaging analytics projects, supervising analysts, implementing data solutions
Required CredentialsBachelor's/Master's in Data Science, Business, or related fields; extensive experienceBachelor's or Master's in relevant fields; experience in analytics roles
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project execution, data analysis
Industry UsageCommon in large corporations, finance, tech, consultingWidely used across industries for operational analytics roles

The Vice President Analytics Director focuses on strategic leadership and high-level decision-making, overseeing multiple teams and aligning analytics with business goals. In contrast, an Analytics Manager handles day-to-day project management and team supervision. Both roles require strong analytical credentials, but the VP role emphasizes strategic vision and executive collaboration.

What cities are hiring for Vice President Analytics Director jobs?

Cities with the most Vice President Analytics Director job openings:

What states have the most Vice President Analytics Director jobs?

States with the most job openings for Vice President Analytics Director jobs include:

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

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

Vice President Analytics Director jobs near you
Infographic showing various Vice President Analytics Director job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% 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 8 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.

What Landmark Credit Union employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply