• 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.