Full-Time

Global Financial Crimes Technology – AI Transformation Team Lead

Director

Mitsubishi UFG

Mitsubishi UFG

10,001+ employees

Global banking, trust, asset management, securities.

Compensation Overview

$166k - $229k/yr

+ Discretionary Bonus + Incentive Compensation

Company Does Not Provide H1B Sponsorship

Irving, TX, USA

Hybrid

Hybrid role; four days on-site and one day remote per week.

Category
Engineering Management (1)
Required Skills
Data Science
Machine Learning
Data Engineering
Requirements
  • Bachelor's degree in Computer Science, Data Science, Engineering, Finance, or related field is required.
  • 10+ years of experience in technology leadership with AI or automation exposure is required.
  • Experience leading enterprise-scale transformation in regulated financial institutions is required.
  • Strong understanding of financial crimes compliance domains is required.
  • Experience successfully building software products as a product manager or product owner within a technology organization in the financial industry is required.
  • Experience leading product development in an evolving Agile environment is required.
  • Strong understanding of technical concepts and consideration in building complex web applications, systems integration, and comfort in working closely with engineers is required.
  • Experience managing product lifecycles from planning to completion is required.
  • Knowledge of regulatory frameworks governing AI in financial services, model risk management (SR 11-7), and compliance technology requirements is required.
Responsibilities
  • 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.
  • 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 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 for vetting, approving, and monitoring AI use cases to ensure alignment with regulatory expectations and embed explainability and auditability into AI solutions.
  • Regulatory Alignment: Ensure all AI initiatives comply with relevant financial crimes regulations, data privacy requirements, and model risk management standards across multiple jurisdictions.
  • Business Unit Partnership: Drive cross-functional collaboration with business units within financial crimes, AML operations, sanctions compliance, fraud detection, and front-line teams to understand requirements and deliver impactful solutions.
  • Technology Team Coordination: Work closely with enterprise data engineering, cloud infrastructure, cybersecurity, and enterprise architecture teams to ensure seamless integration and scalability of AI solutions.
  • Global Collaboration: Partner with MUFG teams across regions, including Japan, to share best practices, align on global standards, and leverage enterprise-wide AI capabilities.
  • Team Development: Build and lead a high-performing AI transformation team over time, recruiting top talent in data science, AI/ML engineering, and compliance technology.
  • Talent Development: Mentor and develop team members, fostering a culture of innovation, continuous learning, and excellence.
  • Change Management: Champion AI adoption across GFCD and Core Compliance through change management, training programs, and communication strategies.
Desired Qualifications
  • Advanced degree (Master's or PhD) in AI/ML, Data Science, or related technical discipline strongly preferred.
  • Relevant certifications (e.g., CAMS, ACAMS, AWS/Azure AI certifications) are a plus.

MUFG is a large financial services group formed in 2005 by merging Mitsubishi Tokyo Financial Group and UFJ Holdings. It provides a wide range of services, including commercial banking, trust banking, securities, credit cards, and asset management, through a global network of banks, trust banks, securities firms, and asset management subsidiaries. Its products work by offering loans and deposits, investment products, payment services, and financial advisory to individuals, businesses, and institutions via branches, digital platforms, and partnerships. The company differentiates itself with its size and global reach, a diversified mix of financial offerings, and strategic international investments (notably the 2008 stake in Morgan Stanley) that expand its US and global presence. MUFG’s goal is to support economic growth worldwide by providing comprehensive financial solutions and pursuing sustainable finance and innovation.

Company Size

10,001+

Company Stage

IPO

Headquarters

Tokyo, Japan

Founded

2006

Simplify Jobs

Simplify's Take

What believers are saying

  • Shriram Finance's 396 billion rupee stake boosts India lending amid strong loan demand.
  • Digital bank launch in FY2026 offers low fees to capture rising Japanese deposits.
  • MUFG Trust acquires Link Group, expanding global asset management services.

What critics are saying

  • U.S. Bancorp captures California deposits post-2022 MUFG Union Bank sale.
  • Mythos AI exploits Unity platform gaps, breaching APAC client data.
  • India RBI blocks non-bank acquisitions after Shriram, stranding investments.

What makes Mitsubishi UFG unique

  • MUFG merges eSmart Securities and WealthNavi into AI-native wealth platform by FY2027.
  • MUFG Unity platform integrates APAC payments with ASEAN banks like Bank Danamon.
  • MUFG's 2008 Morgan Stanley investment yields 300 billion yen annual equity income.

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Benefits

Health Insurance

401(k) Retirement Plan

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Professional Development Budget

Remote Work Options

Flexible Work Hours

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