Full-Time Enterprise Analytics Lead Associate

As a valued colleague, you will provide expert advice and guide the team in assessing and identifying potential risks threatening reputation, safety, security, and/or financial success. Participate with stakeholders across the enterprise and guide the team in understanding business objectives.

The Enterprise Analytics and Modeling - Risk Management - Lead Associate role joins the Model Governance Solutions (MGS) team.

Responsibilities:

• Execute tactical elements of governance compliance for AI and machine learning (ML).
• Be part of the team responsible for program management and oversight for 1st LoD AI/ML risk management.
• Prepare and facilitate AI council and working group meetings.
• Work with stakeholders to ensure activities associated with AI/ML regulatory guidance occur.
• Work with MGS team to ensure activities within the enterprise AI/ML Risk Management Standard occur.
• Identify heightened risks, controls, and value of prospective AI/ML use cases.
• Create and sustain a comprehensive AI/ML use case intake process with Enterprise Architecture.
• Maintain inventory of AI use cases, review/approval evidence, and associated documentation.
• Partner with Model Risk Management and other functions (legal) on requisite review and effective challenge of new AI/ML use cases.
• Ensure execution of control activities as articulated in the enterprise AI/ML strategy with subject-matter experts and strategic leaders.
• Develop and deliver training content and socialization about AI/ML risk processes and controls.
• Guide team in preparing analyses and reports to determine business risks and evaluate the impact of proposed risks.
• Lead team in monitoring information and processes to reduce risk using rigorous analysis.
• Document resolutions and control guidelines.
• Review business strategies to make decisions driving success in the face of shifting consumer behaviors and regulations.

Required Experience:

• 4+ years of risk management, governance, or AI/ML experience.

Skills:

• Presenting information/ideas engagingly and understandably.
• Creating visual concepts, content, and editing using software.
• Respectful and cooperative collaboration with diverse teams.
• Gathering accurate information and explaining concepts.
• Relationship management (managing stakeholders, customers, vendors, relationship networks, contracting).

Desired Experience:

• Bachelor's degree or equivalent.
• 4+ years risk management experience, with 1+ year in model risk management.
• Experience in AI/ML model development, deployment, and management practices, policies, frameworks.
• Execution track record, strong prioritization, and team leadership ability.
• Strong relationship management skills to partner with team members and stakeholders.
• Strong oral/written communication skills (explaining complex processes).
• Experience in financial services or highly regulated industries.

Skills (additional):

• Organizational, analytical, and problem-solving skills.
• Identifying, recommending, and implementing process improvements.
• Independent work and comfortable teamwork.
• Ability to adapt to a dynamic environment.
• Creating visual concepts, content, and editing.
• Presenting information/ideas engagingly and understandably.
• Governance and compliance skills (policy creation, compliance evaluation, investigations).
• Relationship management skills.
• Passion for AI, machine learning, and data analysis.

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