Senior Manager - AI Enablement

Role Purpose

Lead the Business Unit (BU) Enablement function within the AI Center of Excellence (AI CoE). Act as the primary interface between the AI CoE and Business Units, helping business teams identify opportunities, shape use cases, and successfully adopt AI solutions. The role owns the AI demand intake process, supports delivery of medium-complexity AI initiatives, drives adoption at scale, and ensures lessons learned are converted into reusable capabilities for the bank.

Key Responsibilities

AI Demand & Portfolio Intake

• Operate the AI CoE's enterprise AI intake process and serve as the first point of contact for Business Units.

• Facilitate discovery sessions to identify business pain points and AI opportunities.

• Translate ideas into structured use-case charters, including scope, users, expected outcomes, success metrics, and value hypotheses.

• Assess value, complexity, risk, and reuse potential to recommend appropriate delivery paths.

Use Case Delivery & Execution

• Lead AI CoE-supported initiatives from idea through pilot and production deployment.

• Mobilize cross-functional delivery teams involving Business Units, IT, Data, Security, Risk, and Compliance.

• Coordinate pilot execution, user testing, adoption planning, and production readiness activities.

• Remove delivery blockers and escalate issues where appropriate.

Adoption & Change Enablement

• Build AI adoption programs across Business Units.

• Develop and manage AI Champion networks.

• Deliver workshops, training, coaching, and hands-on support for business users.

• Monitor adoption metrics and identify barriers to sustained usage.

Reuse & Continuous Improvement

• Identify recurring business problems across Business Units.

• Convert successful implementations into reusable playbooks, templates, agent patterns, and best practices.

• Partner with the Architecture team to expand the bank's reusable AI capability catalog.

• Create feedback loops that continuously improve AI delivery and adoption.

Requirements

• Bachelor's or Master's degree in Business, Engineering, Computer Science, Information Systems, or related field.

• 8+ years of experience in digital transformation, technology consulting, product delivery, innovation, or business transformation.

• 3+ years leading cross-functional teams and enterprise transformation initiatives.

• Demonstrated experience delivering AI, analytics, automation, digital, or workflow transformation programs.

• Strong stakeholder management skills with experience engaging senior business leaders.

• Ability to translate business challenges into technology-enabled solutions.

• Familiarity with Generative AI, AI agents, workflow automation, data platforms, and modern AI deployment models.

• Strong program management and change management capabilities.

Success Measures

• Number of high-value AI use cases progressed from idea to pilot and production.

• Business value realized from enabled AI initiatives.

• AI adoption rates across Business Units.

• Number of active AI Champions and trained users.

• Reuse of AI patterns, templates, and playbooks across the organization.

• Portfolio visibility, demand coverage, and successful routing of AI opportunities.