Head of AI Enablement

The Head of AI Enablement is responsible for owning and executing the end-to-end AI transformation across the organization. This role is highly execution-focused and sits at the intersection of operations, technology, compliance, and change management.

The successful candidate will take AI from fragmented pilots and siloed tools to fully embedded, governed workflows that drive measurable business outcomes. This is not a research or advisory role—it is a hands‑on leadership role focused on identifying operational bottlenecks, deploying AI solutions into production, and driving adoption across the business in a regulated environment.

This individual will act as the internal owner of AI initiatives, working directly with executive stakeholders to prioritize, implement, and scale high‑impact use cases.

• Own and execute the enterprise AI strategy and roadmap aligned to business priorities and operational inefficiencies
• Identify, prioritize, and deliver high‑impact AI use cases across underwriting, HR/recruitment, operations, and other core functions
• Map existing workflows, systems, and data flows to identify opportunities for automation and optimization
• Design and deploy AI‑powered workflows using LLMs, document intelligence, and automation tools (not just pilots—production systems)
• Embed AI into standard operating procedures (SOPs) to ensure consistent and scalable adoption
• Establish and operationalize AI governance frameworks, including model risk management, auditability, vendor oversight, and data privacy standards
• Partner with Operations, IT, Compliance, Legal, and Risk to ensure AI solutions are secure, explainable, and compliant
• Define clear success metrics (e.g., reduction in manual effort, processing time, error rates) and track ROI across initiatives
• Drive alignment across executive stakeholders, managing competing priorities and ensuring focus on highest‑impact initiatives
• Lead internal enablement by increasing AI fluency across teams and ensuring successful adoption of deployed solutions
• Oversee transition and knowledge transfer from external AI consultants, taking full ownership of ongoing initiatives
• Stay current on emerging AI technologies and translate them into practical, high‑value business applications

• AI is embedded into day‑to‑day workflows across departments, not operating as standalone tools
• Measurable improvements in efficiency, including reduced manual effort and faster processing times
• Clear ownership, prioritization, and execution of AI initiatives across the organization
• Strong alignment across executive stakeholders and cross‑functional teams
• Established governance, controls, and auditability appropriate for a regulated financial environment
• High adoption and trust of AI systems across business units

• 8+ years of experience in transformation, operations, product, AI, or data‑driven roles
• Proven track record of implementing AI or automation solutions in production environments (not research‑focused)
• Hands‑on experience with AI technologies such as LLMs, workflow automation tools, and data‑driven systems
• Must have direct experience and domain expertise within financial services, specifically within Private Wealth, Mortgages, Investments, Private Equity, Wealth Management, or similar regulated financial operations
• Strong understanding of financial services workflows, including document processing, decisioning systems, and risk/compliance constraints
• Demonstrated ability to identify business problems and translate them into scalable AI solutions with measurable ROI
• Experience working cross‑functionally with senior stakeholders, including executives
• Strong process design, systems thinking, and change management…