Executive Director, IT, Head of Engineering Digital Channels

The Head of Engineering (AI First) for Digital Channels is a senior delivery leadership role accountable for the engineering health system design integrity delivery governance of the domain responsible for all investor-facing and client-facing digital channels and Skylight platform. This is an AI-first role: the default assumption for any new or updated capability workflow or process is that AI executes or builds it with humans in the loop where judgement accountability or relationship requires it.

The role is not accountable for the global technology strategy that sits with the Global CTO but responsible for contributing. The role is fully accountable for translating that strategy into a governed high-quality AI-native delivery operation across the Digital Channels an AI-first engineering organisation the primary engineering artefact is no longer code written by humans it is the specification the prompt the agent workflow the policy and the oversight architecture that governs AI execution either in production systems or in product some cases the Head of Engineering must design systems whose behaviour cannot be fully predicted in advance govern their output in a regulated financial services context and develop an engineering team whose primary skill is directing evaluating and improving AI systems rather than writing software from scratch.

However within the context of the domain the Head of Engineering owns technology decisions as long as they do not have long term impact to the firm and do not impact other domains.

You Will:

• Own the end-to-end delivery integrity of the Digital Channels domain what ships when it ships and at what quality level. Exercise unconditional no-go authority when a release human-built or AI-generated is not safe to ship regardless of product pressure.
• Own the AI system design integrity of the domain: maintain the agent registry ensure every AI workflow has correctly placed HITL controls and design and operate the evaluation framework that monitors AI system performance in production.
• Govern specification quality as the primary upstream quality gate. Claude Code (or another tool as the company might add to its toolkit from time to time) is the universal development environment; the precision and completeness of the specifications that direct it determine the quality of what gets built. Own that standard across all domain squads.
• Lead the joint specification and output validation model with the Head of Solutions Digital Channels not a handoff model but a co-ownership model from discovery through to production with shared accountability for domain outcomes.
• Manage and develop every engineer in the domain: hiring onboarding performance career development and the transition to an AI-first operating model. Actively manage engineers who are struggling with the model shift.
• Maintain domain compliance with the security posture data classification standards AI governance policies and engineering golden path. Ensure no shadow AI no unapproved model endpoints and no production data flowing to unsanctioned services.
• Own the on-call rotation incident response protocol and post-mortem discipline for the domain distinguishing between software incidents and AI system incidents with specific containment and communication protocols for each.
• Manage cross-domain dependencies platform Engineering consumption and the interface with the Data Engineering and AI Platform functions.
• Contribute actively to the engineering leadership weekly forum and chair one quarter per year making decisions in the forum rather than deferring them holding peers to cross-domain commitments and upstreaming domain-specific AI patterns to the shared prompt library and golden path.
• Provide an honest timely and accurate signal to the Global CTO and Head of Solutions on domain health delivery trajectory engineering quality AI system performance team health and risks. No surprises no sanitisation.

#LI-Hybrid

Qualifications :

You Have:

• Bachelors degree or equivalent experience in Computer Science Software Engineering or a related technical discipline. Advanced degree is not required but relevant professional development in AI system design software architecture or engineering leadership is valued.
• Demonstrable continued learning in AI-first development practices agentic system design and evaluation methodology is expected given the pace of change in this domain.
• 10 years of progressive experience in software engineering with at least 5 years in senior engineering leadership roles managing squads and owning delivery outcomes.
• Experience in a regulated financial services environment is essential the candidate must understand what it means to ship safely when errors carry regulatory client and reputational consequences.
• Critically the candidate must have demonstrable hands-on experience designing deploying and governing AI-executed workflows or agent systems in a production context not AI-assisted development but AI as the primary execution mechanism for business processes.
• Experience leading an engineering team through a significant operating model change is strongly preferred.
• Experience in alternative asset servicing fund administration or adjacent financial services is advantageous given the domain-specific data presentation and disclosure requirements of the investor-facing surface.

Additional Information :

Whats in it for you to join MUFG Investor Services

Take a look at our careers site and youll find everything youd expect working with one of the fastest-growing businesses at one of the worlds largest financial groups. Now take another look. Because its how we defy expectations that really defines us. Youll feel that difference in all kinds of ways. Our vibrant CULTURE. Connected team. Love of innovation laser client focus.

So why settle for the ordinary Apply now for your next Brilliantly Different opportunity.

At MUFG Investor Services we use Artificial Intelligence (AI) tools to help identify skills and experience that align with role requirements.  All AI recommendations are reviewed by our recruitment team before any decisions are made.

This is a newly created position.

We thank all candidates for applying; however only those proceeding to the interview stage will be contacted.

We are an equal opportunity employer.

Remote Work :

No

Employment Type :

Full-time