Enterprise Risk Program Manager, AI & Data Governance

Enterprise Risk Program Manager, AI & Data Governance

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 reporting to the director, enterprise risk, the enterprise risk program manager, ai & data governance leads enterprise-wide efforts to identify, assess, and manage risks related to ai, data governance, and third-party data sharing. This role develops risk frameworks, mitigation strategies, and governance practices to ensure ai and pii data use align with organizational strategy and regulatory requirements. The program manager partners with it, information security, legal, compliance, internal audit, and business leaders to embed effective risk management practices, strengthen operational resilience, and deliver clear risk insights to senior leadership.

Requirements 1. bachelor's degree in risk management, data science, information systems, business, finance, or related field and a minimum of seven years' experience in erm or a related business function (financial services preferred). Equivalent combination of education and experience will also be considered. 2. strong analytical skills, documentation and critical-thinking skills with proficiency in data analysis tools and techniques. Demonstrated ability to define problems, assess risk, analyze processes, collect data, establish facts, and draw valid conclusions. 3. ability to evaluate technical systems and translate risk implications for non-technical audiences. 4. proven ability to independently organize work, balance multiple priorities, and manage a variety of responsibilities in a high-volume work environment with strong attention to detail. 5. excellent communication, relationship building and presentation skills to effectively influence and communicate risk information to various levels of management. Working collaboratively across multiple departments, interacting with personnel at all levels of the organization. 6. experience in data governance and ai risk management; experience in data lifecycles and managing the risks associated with sharing data with third party vendors. 7. advanced understanding of it risk and control frameworks as they relate to data governance and third party risk management. 8. must develop a thorough understanding of company policies and procedures as they relate to the position. Must understand and comply with all job-related state and federal laws and regulations.

Principal accountabilities 1. risk identification: lead the design and execution of enterprise-wide risk assessment programs across operational, financial, legal, compliance, reputational, and strategic domains, with a focused portfolio on ai, data analytics, data governance, and emerging technology risks. Apply advanced data analysis and risk intelligence to identify systemic trends, emerging threats, and interdependencies. Direct and facilitate risk assessments with senior stakeholders to prioritize risk themes and align mitigation efforts with organizational strategy. 2. risk mitigation strategy: develop, implement, and continuously enhance enterprise risk mitigation frameworks, including ai and data governance, preventative and detective controls, and control maturity models. Partner with business and technology leaders to identify control gaps, define remediation roadmaps, and drive cross-functional execution. Oversee the ongoing evaluation of mitigation effectiveness, with particular emphasis on data quality, privacy, ethical ai use, model risk, and regulatory expectations. 3. reporting and communications: design and deliver executive-level risk reporting, dashboards, and program updates that translate complex risk data into actionable insights. Serve as a strategic advisor to senior leadership on enterprise risk posture, regulatory developments, and emerging risks related to ai, data management, consumer privacy, and fair lending. Drive consistent communication of risk policies, standards, and program outcomes across the organization. 4. risk monitoring and governance: partner to establish, influence and manage enterprise risk governance processes for ai and data use, including third-party data sharing oversight and policy alignment. Define and monitor key risk indicators (kris) and key performance indicators (kpis) to measure program effectiveness and risk trends. Lead ongoing risk monitoring activities, ensuring timely escalation of critical issues and alignment with the enterprise risk management framework, policies, and standards. 5. perform other duties as assigned.

Eeo/veterans/disabled