AI Risk Advisor

KeyBank•Brooklyn, OH

21h•$79,000 - $146,000•Remote

About The Position

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.

Requirements

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.
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.

Nice To Haves

Familiarity with AI-enablement tools like Google Vertex AI, Copilot Studio, and ServiceNow is a plus.

Responsibilities

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.