AI/ML Governance & Automation Lead Vice President

What you'll do

• Develop and execute comprehensive program plans to accelerate AI/ML model governance and delivery timelines.
• Design scalable governance solutions for agentic, generative, and customer-facing AI/ML use cases.
• Partner with cross-functional stakeholders to define scope, objectives, and success measures for AI initiatives.
• Identify and mitigate project risks while proactively addressing roadblocks to maintain momentum.
• Translate complex technical, risk, and operational requirements into actionable execution plans.
• Drive alignment on governance standards, controls, and operating procedures for emerging AI capabilities.
• Analyze program performance to identify inefficiencies and implement data-driven process improvements.
• Create repeatable frameworks, playbooks, and governance patterns to support scalable AI/ML delivery.

What we're looking for

• 5+ years of experience in technical program management for complex technology, data, AI/ML, risk, or governance programs in a large organization.
• Strong understanding of AI/ML development lifecycles, model governance, and model risk management processes.
• Advanced stakeholder management skills to influence decision-making across engineering, data science, product, risk, and business teams.
• Proven ability to manage complex, cross-functional programs with multiple dependencies and evolving requirements.
• Proficiency in analytical reasoning to translate complex technical and operational objectives into actionable plans.
• Experience driving process improvement, operating model design, or governance transformation in fast-paced technology environments.
• Strong communication skills to articulate complex technical and governance topics to both technical and non-technical audiences.
• Experience with generative AI, agentic AI, large language models, or working in highly regulated financial services (preferred).