As a valued colleague on our team, you will provide expert advice on, and guide team in, assessing and identifying potential risks that may threaten our reputation, safety, security, and/or financial success, as well as participate with key stakeholders across the enterprise and guide team in understanding business objectives.The Enterprise Analytics and Modeling - Risk Management - Lead Associate (Open to Remote) will join the Model Governance Solutions (MGS) team. Model Governance Solutions (MGS) is a first line of defense team whose mission is to drive efficiency, consistency, and compliance in first-line model management activities across the enterprise. As a valued colleague on our team, you will assist the team with assessing and identifying potential model risks that may threaten our reputation, safety, security, and/or financial success, as well as participate with the team in communicating and collaborating with key stakeholders across the enterprise and understanding business objectives. THE IMPACT YOU WILL MAKEThe Enterprise Analytics and Modeling - Risk Management - Lead Associate (Open to Remote) role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:Execute on tactical elements of governance compliance for artificial intelligence (AI) and machine learning (ML).Be part of the team responsible for providing program management and oversight for 1St LoD AI/ML risk management.Work with team members and leadership to prepare content and facilitate AI council and working group meetings.Work with stakeholders and team members to ensure requisite activities associated with AI/ML regulatory guidance occur.Work with MGS team members to ensure requisite activities within the enterprise AI/ML Risk Management Standard occur.Work with key stakeholders on identifying heightened risks, controls, and value of prospective AI/ML use cases.Work with Enterprise Architecture to create, and sustain, a comprehensive AI/ML use take intake process.Maintain the comprehensive inventory of AI use cases, evidence of review and approval, and associated documentation.Partner with Model Risk Management and other functions (e.g., legal) on requisite review and effective challenge of new AI/ML use cases.Partner with subject-matter-experts and strategic leaders to ensure execution of requisite control activities as articulated in the enterprise AI/ML strategy.Work with internal stakeholders to develop and deliver training content and socialization about AI/ML risk processes and controls.Guide team in preparing analyses and reports used to determine business areas that pose potential risks to the enterprise. Guide team in preparing analyses and reports used to evaluate the impact of proposed risks to the enterprise.  Lead team in monitoring information and processes to reduce risk using rigorous analysis.  Document resolutions and control guidelines.  Guide team efforts to review business strategies, and make decisions that will drive success in the face of shifting consumer behaviors and regulations. 
