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
This position reports to the Sr Manager, Enterprise Risk and operates out of our Headquarters. The Enterprise Risk Analyst Sr, AI & Data Governance is responsible for leading the identification, assessment, and mitigation of AI and data risk governance across the organization. Responsibilities include conducting comprehensive risk analysis, developing mitigation strategies, monitoring third-party data sharing, and reporting findings to senior management. This position ensures that AI usage and PII data sharing align with the company's strategic objectives and comply with regulatory requirements. Success requires deep knowledge of enterprise risk frameworks, AI concepts, and advanced analytical skills to identify and manage risks across business functions. The position partners closely with IT, Information Security, Legal and Compliance, Internal Audit, and business units to embed effective risk management practices, enhance operational resilience and support strategic decision-making.
REQUIREMENTS
1. Bachelor's degree in Risk Management, Data Science, Information Systems, Business, Finance, or related field and a minimum of five 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. 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 ACCOUNTABLITIES
1. Risk Identification: Conduct in-depth risk assessment across all business lines, including operational, financial, legal, compliance, reputational, and strategic risk, including assessments related to AI and
data analysis. Utilizing data analysis techniques to identify emerging risk and trends. Facilitate Risk and Control Self Assessments with key stakeholders to gather insights and prioritize risk areas.
2. Risk Mitigation Strategy: Develop and implement comprehensive risk mitigation plans, including RCSAs for AI and data use, including preventative and detective controls. Identifying control gaps and collaborate with business lines to design and implement remediation actions. Monitor the effectiveness of risk mitigation strategies and adjust as needed, addressing risks related to data quality, privacy, ethics, and usage across business functions.
3. Reporting and Communications: Prepare risk reports for senior management, highlighting key risk exposures and mitigation efforts. Present complex risk information in a clear and concise manner to various stakeholders. Communicate risk management policies and procedures to ensure organization-wide awareness. Monitor regulatory developments related to AI, data management, consumer privacy, and fair lending; advise leadership on impacts and necessary controls.
4. Risk Monitoring and Governance: Support development of AI governance policies and monitor third- party data sharing practices. Establish and track key risk indicators (KRIs) and key performance indicators (KPIs) to measure the effectiveness of risk strategies. Conduct ongoing risk monitoring activities and escalate critical issues to management promptly. Contribute to maintaining a robust enterprise risk management framework including policies, standards, and controls.
5. Perform other duties as assigned.
EEO/Veterans/Disabled
Landmark Credit Union
Jan 13, 2026