VP Analytics AI

JOB REQUIREMENTS: 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: 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. 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. 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. 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 modern data and AI tools and technologies, including 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,... For full info follow application link. EO/AA Employer; including veterans and individuals with disabilities ***** APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/566F3A2F525F480B