VP, Analytics & AI

Landmark Credit Union Talent Acquisition•Brookfield, WI

98d

About The Position

The VP, Analytics and AI defines and executes Landmark Credit Union’s enterprise data, analytics, and artificial intelligence strategy to improve member experience, operational efficiency, business decision-making, and risk management. The role leads development of modern data and analytics capabilities, including business intelligence, advanced analytics, machine learning, automation, and responsible AI practices. Working closely with IT, Digital, Lending, Finance, Risk, Marketing, Operations, and other business leaders, this position identifies valuable opportunities and ensures data and AI investments support enterprise strategy, regulatory expectations, and measurable business outcomes. The position reports to the Chief Technology Officer and leads the Enterprise Analytics and AI function, including BI/reporting, data science, and AI/automation teams. The VP leads enterprise analytics and AI roadmaps, platforms, governance, teams, and investment priorities. The role promotes trusted data use and responsible AI, delivers actionable insights and decision-support tools, and builds a culture of data-driven decision-making and practical adoption across the organization.

Requirements

Bachelor’s degree in a quantitative, technical, or related field, such as Data Science, Computer Science, Statistics, Mathematics, Economics, or Information Systems.
At least 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.
Experience defining and executing enterprise data, analytics, and AI strategies that deliver measurable business outcomes; financial services or other regulated-industry experience is preferred.
Strong understanding of data modeling, analytics techniques, machine learning concepts, modern data platforms, data pipelines, business intelligence tools, and AI-enabled solutions.
Hands-on familiarity with SQL, Python or R, cloud data platforms, and BI tools such as Power BI or Tableau.
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.
Demonstrated ability to build, lead, develop, and retain high-performing analytics, BI, data science, and AI teams.
Strong executive communication, stakeholder management, and change leadership skills, including presenting complex data, analytics, AI, value realization, risk considerations, and investment needs to executive leadership and the Board.
Ability to understand and comply with company policies and procedures and job-related state and federal laws and regulations.

Nice To Haves

Advanced degree.
Experience in a regulated industry such as financial services.

Responsibilities

Define and execute a multi-year enterprise analytics and AI roadmap aligned with organizational strategy, digital transformation objectives, and regulatory expectations.
Identify, evaluate, and prioritize analytics and AI opportunities across member engagement, pricing, fraud and risk management, operations automation, marketing personalization, and other enterprise areas.
Partner with IT leadership to design, evolve, and govern modern data platforms, including data lakes, data warehouses, real-time data pipelines, business intelligence tools, and self-service analytics capabilities.
Establish and mature enterprise data governance policies, data quality standards, stewardship practices, and controls supporting privacy, security, compliance, and trusted data use.
Lead business intelligence, reporting, advanced analytics, data science, AI, and automation teams to deliver actionable insights and decision-support tools.
Oversee development of dashboards, models, analytics products, and recommendations that turn complex data into clear narratives, business insights, and measurable actions.
Build and scale AI and automation capabilities, such as recommendation engines, intelligent routing, chatbots, document processing, claims processing, and marketing personalization.
Define and enforce responsible AI practices, including model governance and monitoring, bias management, explainability, human-in-the-loop controls, and collaboration with Risk and Compliance.
Serve as the primary analytics and AI partner to leaders across Lending, Retail, Digital, Marketing, Finance, Risk, Operations, and other business areas.
Communicate analytics and AI strategy, priorities, results, risks, investment needs, and value realization to leadership and governance forums.
Build and lead high-performing analytics, BI, data science, and AI organizations; attract, develop, coach, and retain talent.
Foster data-driven decision-making, innovation, responsible experimentation, and practical adoption of data and AI across the organization.
Define KPIs and success measures for analytics and AI initiatives and report business impact, including member growth, member experience, efficiency gains, risk reduction, and financial value.
Manage analytics and AI budgets, platforms, tools, vendors, staffing plans, and portfolio priorities to ensure investments deliver measurable value.
Perform other duties as assigned.
Develop a thorough understanding of company policies and procedures relevant to the position and comply with all job-related state and federal laws and regulations.