GenAI Software Engineering Transformation Director - Business Enablement Technology, IT Americas

Do you want your voice heard and your actions to count?

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.

Position Summary:

MUFG is seeking a senior technology leader to help define and drive the future of AI-enabled software engineering within Business Enablement Technology in IT Americas. This Director-level role will lead the strategy, adoption, and organizational integration of generative AI tools across the software development lifecycle.

This is a highly visible and multifaceted leadership role for an experienced technical practitioner and transformation leader who can bridge engineering, architecture, risk, compliance, security, and business stakeholders. The successful candidate will shape how application development teams use GenAI to improve software delivery, modernize engineering practices, and evolve organizational operating models in a controlled, scalable, and enterprise-ready manner.

This role requires deep hands-on credibility in software architecture and development, strong knowledge of the rapidly evolving GenAI coding ecosystem, and the leadership presence to drive cultural and process change across a large banking technology organization.

Key Responsibilities:

GenAI Strategy and Adoption

• Lead the education, enablement, and adoption of GenAI tools and practices across software development teams within Business Enablement Technology.

• Define and communicate a clear GenAI software engineering strategy and roadmap aligned to organizational priorities, risk standards, and delivery objectives.

• Serve as the senior subject matter expert on the evolving landscape of GenAI for software development, including tooling, models, market direction, and emerging practices within financial services.

Software Development Transformation

• Evolve software development practices, standards, and team workflows to incorporate and optimize the use of GenAI in the engineering lifecycle.

• Identify and recommend changes to engineering processes, development governance, and delivery models to maximize the value of AI-assisted development.

• Address complex questions related to AI-enabled engineering operating models, including code review approaches, team composition, developer responsibilities, productivity models, and product team interaction patterns.

• Help define what enterprise-grade software delivery should look like in a future where a significant portion of code is AI-generated.

Organizational and Cultural Change Leadership

• Drive cultural and organizational change required for successful adoption of GenAI development tools at scale.

• Partner with technology leaders and engineering managers to build practical adoption models, capability development plans, and change management approaches.

• Educate and influence both technical and non-technical stakeholders on the opportunities, limitations, and implications of GenAI-enabled software development.

Governance, Risk, Compliance, and Security Alignment

• Work closely with risk, compliance, and security teams to evolve controls, standards, and oversight frameworks for AI-assisted software development and deployment.

• Help define how software engineering governance must adapt as AI-generated code becomes a significant component of enterprise application delivery.

• Ensure GenAI adoption approaches are aligned with the control environment and regulatory expectations of a large banking institution.

Cross-Functional Partnership and Industry Engagement

• Engage with central engineering and architecture teams to represent the needs, priorities, and realities of application development teams using GenAI tools.

• Collaborate with peers across application development organizations to share lessons learned, coordinate initiatives, and promote consistency where appropriate.

• Monitor external industry developments, particularly within banking and financial services, and translate those developments into actionable recommendations for the organization.

• Forecast and plan for future changes in the GenAI development landscape and help the organization prepare strategically and operationally.

Required Qualifications:

• 10+ years of experience as a full-stack application architect, designer, and developer using modern languages, frameworks, and software engineering tools.

• Demonstrated expertise in modern software architecture, application design, engineering practices, and enterprise software delivery.

• Deep fluency with current GenAI coding tools, models, and development platforms, and a strong understanding of their practical application in enterprise software engineering.

• Experience building or guiding the delivery of enterprise-grade software systems using GenAI-assisted development approaches.

• Proven experience leading large-scale technical transformation and cultural change initiatives within a complex enterprise environment, preferably in a large and/or global bank.

• Strong understanding of software development governance, risk management, security controls, and compliance considerations within regulated environments.

• Excellent written and verbal communication skills, with the ability to educate, influence, and evangelize technical transformation strategies to senior technical leaders, business leaders, and control partners.

• Strong executive presence, stakeholder management skills, and the ability to lead through influence across matrixed organizations.

Preferred Qualifications:

• Experience within financial services, banking, or another highly regulated industry.

• Experience establishing or evolving engineering standards, developer platforms, or SDLC frameworks at scale.

• Familiarity with secure software development, model governance considerations, and control frameworks relevant to AI-enabled engineering.

• Experience working across global or multi-regional organizations.

• Demonstrated ability to balance innovation, speed, quality, and control in enterprise technology environments.

Ideal Candidate Profile:

The ideal candidate is both a senior technologist and a transformation leader: someone with deep engineering credibility, strong knowledge of GenAI’s impact on software development, and the judgment to apply that knowledge in a practical, enterprise-ready way. This person should be equally comfortable advising senior executives, influencing engineering teams, and partnering with risk and control functions to shape the future of software delivery in a banking environment.

Education:

•Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience

“Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position.”

The typical base pay range for this role is as follows:

• New York / New Jersey: $214k - $280k

depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.

Our hybrid work schedule is four days on-site and work remotely one day per week.

MUFG Benefits Summary

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.