More jobs:
Global Financial Crimes Technology, AI Transformation Team Lead - Director
Job in
Irving, Dallas County, Texas, 75061, USA
Listed on 2026-06-01
Listing for:
MUFG (DBA)
Full Time
position Listed on 2026-06-01
Job specializations:
-
IT/Tech
AI Engineer, Data Scientist
Job Description & How to Apply Below
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.
MUFG is seeking an exceptional Director of AI Transformation to lead the strategic development and project execution of AI-powered solutions that will transform financial crimes processes and core compliance operations. This newly created role will report directly to the Global Head of Financial Crimes Compliance Technology and will be responsible for defining the AI transformation roadmap, lead the strategic design, execution, and scaling of artificial intelligence (AI), generative AI, and advanced automation capabilities, and building a high-performing team to drive innovation across the Global Financial Crimes Division.
The successful candidate will combine deep expertise in AI/ML technologies with substantial financial crimes and compliance experience, enabling them to bridge technical innovation with regulatory requirements and business impact. Operating at the intersection of technology, compliance, and innovation, the Director will drive adoption of AI-enabled operating models, establish scalable delivery patterns, and ensure alignment with MUFG's AI governance, risk management, and regulatory expectations.
This is a unique opportunity to shape the future of compliance technology at one of the world's leading financial institutions.
KEY RESPONSIBILITIES
Strategic Leadership & Vision
* Define and Execute AI Transformation Strategy:
Develop and lead the comprehensive AI transformation execution strategy for GFCD, aligning technology innovation with business objectives, regulatory requirements, and risk management priorities.
* Use Case Prioritization:
Leverage the existing framework for identifying, evaluating, and prioritizing AI use cases. Providing feedback and enhancements as needed to ensure alignment with business value, technical feasibility, regulatory compliance, and risk mitigation goals.
* Stakeholder Engagement:
Serve as the primary AI strategy advisor to GFCD leadership, presenting transformation roadmaps, progress updates, and ROI analysis to executive stakeholders.
* Define Success Metrics:
Establish clear success metrics and track realized benefits to measure the effectiveness and impact of AI transformation initiatives.
Technical Execution & Innovation
* AI Agent Development:
Lead teams responsible for the design, development, and testing of AI agents and machine learning models tailored to e-communication surveillance, trade surveillance, financial crimes operation, and compliance workflows.
* Technology
Infrastructure: Collaborate with technology teams across MUFG to ensure GFCD has access to the right tools, platforms, cloud environments, and data infrastructure necessary to build, deploy, and scale AI solutions.
* Innovation Pipeline:
Establish repeatable AI delivery patterns to accelerate time-to-value and global scalability
Governance, Risk & Compliance
* Governance Framework:
Refine the comprehensive AI governance framework that defines standards for compliance including, bias detection, explainability, and regulatory compliance. Collaborating with Model Risk Management and Legal to support AI risk assessments and validations
* Guardrails & Controls:
Establish clear guardrails and control mechanisms…
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