Director AI, Automation & Data in London

Join to apply for the Director AI, Automation & Data role at MUFG Pension & Market Services. The Director – AI, Automation and Data is a senior global leadership role with responsibility for leading the strategic vision, delivery oversight and governance of AI and AI-associated data initiatives across MUFG Corporate Markets. The role holder will embed AI as a trusted, value-generating capability, ensuring responsible data use and compliance with regulatory, ethical and organisational standards, including data privacy and model bias.

Working in partnership with key vendors, business, Technology, Operations, legal, Information Security and Risk teams, the Director will champion scalable AI-driven solutions, enhancing operational efficiency, unlocking personalised services and supporting innovation. The Director will lead the enterprise data agenda, overseeing data governance, platform strategy and advanced analytics maturity. The UK Director will ideally be based in Leeds or London on a hybrid basis, with a requirement to travel globally at times.

Your key deliverables:

• Defining and evolving MPMS's Group AI strategy, ensuring alignment with business goals, regulatory obligations and ethical principles.
• Driving enterprise-wide prioritisation and execution of AI initiatives that deliver measurable value to operations, customer experience and risk management.
• Establishing a scalable and compliant AI operating model, including demand intake, capability build, governance, risk management and change enablement.
• Overseeing enterprise data management, including data platform architecture, master data governance and data lifecycle controls.
• Driving the development of advanced analytics, data science models and business intelligence capabilities in alignment with strategic business needs.
• Partnering with business leaders to translate AI and data opportunities into tangible commercial and service outcomes.
• Leading the enterprise data agenda, overseeing data governance, platform strategy and advanced analytics maturity.
• Serving as a trusted advisor to the Executive Leadership Team on AI and data matters, and representing MPMS externally in regulatory, vendor and industry forums related to AI and data innovation.
• Fostering a strong community of practice across technology, data and business domains to build awareness, capability and adoption of AI, while leading and inspiring teams and role-modelling MOMS values.
• Establishing governance forums and control mechanisms to ensure AI and data use complies with global and local regulatory frameworks (e.g. APRA, GDPR, SEBI).
• Overseeing AI risk assessments and model validation processes to ensure the robustness and integrity of algorithms.

The above list of key accountabilities is not exhaustive and may change from time to time based on business needs.

What you need:

As with any role, we want to find the right person and we want to make sure you know it's the right role for you too. You will need:

• Experience within financial services or regulated industries, with over 10 years' of experience in enterprise data, analytics or AI leadership roles.
• Demonstrated expertise in leading strategic initiatives, managing operations and implementing governance frameworks.
• A demonstrable track record of delivering scalable AI/ML solutions with business impact and experience setting a long-term vision and roadmap for AI and data in line with business strategy.
• A strong understanding of data governance frameworks, privacy law and AI ethics.
• Familiarity with cloud-based data platforms (e.g. Azure, AWS) and modern data tooling.
• Strong experience managing cross-functional teams and an exceptional ability to influence senior stakeholders, facilitating consensus and aligning teams towards a common vision.
• Exceptional verbal and written communication skills, with an ability to tailor messaging to diverse audiences at a variety of levels.
• Proven capability to lead teams, influence executives and drive organisational change.
• Demonstrable understanding of regulatory obligations and ethical considerations in AI and data use.

Benefits:

• 26 days annual leave, a wellbeing day, a volunteer day, bank holidays and the opportunity to buy up to 5 days' extra each year.
• Company Pension Scheme.
• Structure Bonus Scheme.
• Medical insurance.
• Life Assurance.