AI Risk Advisor

Location:

Title: AI Risk Advisor

Role Summary:

The AI Risk Advisor serves as an embedded resource within the AI Center Of Excellence to guide the model owners in drafting proposals preparing validation evidence and aligning with governance standards supporting the line of business and model owners in responsibly adopting AI. This role ensures that AI initiatives meet governance risk and compliance standards while enabling scalable and ethical innovation.

Essential Functions:

• Facilitate responsible risk-aware AI/ML lifecycle across the firm aligning with internal standards and regulatory expectations with a particular focus on Generative AI adoption.
• Evaluate AI vendor proposals for feasibility risk appetite alignment data privacy and ethical standards.
• Guide team responsible for AI solutions in preparing model validation documentation including conceptual soundness data quality and outcome analysis benchmarks as applicable.
• Vet the viability of execution with available tools and resources.

• Assess compliance risks related to model transparency training data provenance intellectual property privacy regulatory obligations and contractual rights.
• Establish responsible AI & ML best practices aligning with risk management expectations with a particular focus on Generative AI.
• Provide hands-on support for second-line engagements including but not limited to documentation and testing automation.
• Consult on enterprise AI governance including relevant first-line governing documents (e.g. acceptable use and risk appetite).
• Curate and author relevant curriculum and training content for developers and business-line adopters.
• Support and execute change management strategies and enterprise-wide AI acumen building.
• Provide feedback on business case clarity feasibility and alignment with enterprise goals.

Experience:

• Bachelor of Science in Artificial Intelligence Machine Learning Computer Science Data Science Information Systems or Business Analytics (or related field)
• 5-10 years progressive related experience in risk management model analytics business intelligence data and/or AI.
• Understanding of AI/ML lifecycle model risk and governance frameworks.
• Applied research in the areas of emerging methods including natural language-driven system design evaluation and monitoring.
• Demonstrated experience in evaluating the performance of language-based models.
• Experience in vendor evaluation risk assessment and regulatory compliance.
• Familiarity with AI-enablement tools like Google Vertex AI Copilot Studio and ServiceNow is a plus.

Skills:

• Communication and consulting skills: Effectively communicate with technical and non-technical stakeholders at all levels (both verbal and written) to bridge technical and business domains.
• Influence: Influence decisions at multiple levels using insights and data to support your recommendations.
• Data Governance: Applying policies standards and practices to ensure data quality integrity security and compliance across the organization.
• Problem-Solving: Identifying issues analyzing root causes and developing practical solutions using critical thinking.
• Requirements Analysis & Feasibility Assessment Translating complex business needs into technical solutions and ensuring their viability.

Physical Demands:

• General Office: Prolonged sitting ability to communicate face to face in-person or on the phone with teammates and clients frequent use of PC/laptop occasional lifting/pushing/pulling of backpacks computer bags up to 10 lbs.

Driving/Travel:

• Not applicable

COMPENSATION AND BENEFITS

Please click here for a list of benefits for which this position is eligible.

Key has implemented an approach to employee workspaces which prioritizes in-office presence while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing

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