VP, AI Learning & Development - Americas (12 Month Fixed Term Contract)

Mitsubishi UFJ Financial Group•New York, NY

11h•Hybrid

About The Position

The VP, AI Learning & Development Lead – Americas will shape and execute the Americas-wide AI workforce enablement roadmap, translating evolving AI capabilities and business needs into practical, role-based learning and adoption opportunities. The role combines AI fluency and hands-on experience with enterprise generative AI tools with the delivery of AI learning and development programs to build workforce capability, enable practical AI use, and embed new ways of working across the region. The position leads cross-functional coordination across Talent, Learning & Culture (TL&C), Technology/IT, PMO, Corporate Communications, Risk, Legal, Compliance, Procurement, vendors, Business Unit AI Leads, HRBPs, and business stakeholders. It establishes learning frameworks and pathways, coordinates program implementation and governance, and supports adoption across MUFG’s bank, securities, trust bank, and investor services entities in the Americas. The selected colleague works at an MUFG office or client sites four days per week and remotely one day per week.

Requirements

Proven track record leading large-scale, complex programs across multiple businesses, legal entities, and geographies.
Demonstrated experience in Learning & Development, digital adoption, program management, workforce transformation, or related roles.
Direct experience leading an enterprise AI or digital enablement program with Technology partners, from tool rollout through adoption.
Proven experience designing, implementing, or scaling learning and adoption programs that build capability, drive behavior change, and enable new ways of working.
Hands-on experience with enterprise generative AI tools, such as Microsoft 365 Copilot or agent builders.
Technology and learning and development vendor management experience.
Working knowledge of LLMs, prompting, agents, and responsible AI/model risk.
Confidence with advanced or niche AI tools and use cases, including agents, custom AI solutions, and workflow-based AI enablement.
Strong program leadership skills, including translating evolving or ambiguous priorities into a clear roadmap, coordinating workstreams and cross-functional dependencies, and driving execution end-to-end with limited oversight.
Strong learning design judgment and ability to convert real workflow examples and expert input into practical, usable learning.
Ability to translate technical concepts, business needs, and SME input into clear, actionable guidance and learning for technical and non-technical audiences.
Strong consulting and stakeholder management skills, including advising, facilitating, and influencing stakeholders from working teams through senior leadership.
Excellent written and verbal communication skills, including developing audience-specific messaging, leadership-ready materials, and clear communications about complex topics.
Excellent organizational skills, a collaborative and proactive approach to problem-solving, and ability to work effectively in a fast-evolving, ambiguous environment.

Nice To Haves

A degree or equivalent professional qualification or experience in Human Resources, Change Management, or another relevant field.

Responsibilities

Establish an Americas AI capability framework and learning architecture aligned with global foundations and regional business, technology, and regulatory requirements.
Define target audiences, proficiency levels, learning pathways, and desired outcomes for employees, leaders, managers, technical audiences, and AI champions.
Translate AI capabilities, business needs, and subject-matter-expert input into role-based learning pathways, instructor-led opportunities, learning objectives, and practical guidance.
Define a baseline proficiency approach and mandatory AI learning and development plan for all employees.
Adapt existing global frameworks, audience segmentation, supplier criteria, learning architecture, current-state and gap analysis, and governance approaches.
Evaluate internal and external learning offerings and recommend whether to build, buy, reuse, or adapt solutions.
Assess business demand, capability gaps, and emerging AI use cases in partnership with Business Unit AI Leads, HRBPs, Technology, and business stakeholders.
Coordinate with Risk, Legal, and Compliance to incorporate requirements related to new AI tools, capabilities, and use cases.
Maintain fluency in emerging AI capabilities, tools, use cases, and workforce trends, and translate developments into practical regional learning opportunities.
Lead the cross-functional AI learning and development program across relevant regional and global teams, functions, vendors, and business stakeholders.
Translate workforce priorities into a connected roadmap and implementation plan, and lead program structure, stakeholder alignment, decisions, and execution follow-through.
Manage dependencies involving content and SME readiness, platform access, procurement, suppliers, regulatory input, communications, implementation capacity, and business use cases.
Establish sustainable governance and intake processes to prioritize business-unit workforce enablement requirements and AI use cases.
Partner with global and regional TL&C stakeholders, including EMEA and APAC workstreams, to leverage frameworks, maintain alignment, and adapt solutions for the Americas.
Facilitate stakeholder alignment and proactively manage priorities, timelines, dependencies, decisions, and implementation readiness.
Establish program reporting and adoption governance, including training completions, Copilot usage, champion engagement, and pulse results for senior stakeholders.
Coordinate implementation and delivery of selected learning solutions, including self-paced content, assessments, curated pathways, instructor-led options, and measurement support.
Execute role-based learning pathways, instructor-led opportunities, employee self-learning engagement, and mandatory baseline learning.
Develop and sustain practical enablement resources such as people leader toolkits, office hours, FAQs, playbooks, and workflow-based guidance.
Partner with business owners on learning vendor engagement, including vendor inquiries and evaluation inputs.
Create feedback loops with senior stakeholders, employee peer groups, and the broader employee base to inform learning priorities, use cases, and adoption.
Support peer-to-peer employee groups with onboarding, quarterly sessions, operating cadence, recognition, and toolkits.
Coordinate with SMEs, platform owners, communications partners, and business stakeholders to enable new AI tools and capabilities based on business need.
Develop PMO and stakeholder updates, governance materials, leadership-ready content, and implementation communications with Corporate Communications.