Director – AI Execution Office

Stakeholder Management and Leadership

The role holder will engage senior stakeholders across Technology, Business, Risk and Control to support delivery of enterprise AI priorities, including:

• Act as a trusted execution partner to the AI Office Lead, providing clear visibility of programme health, risks, issues and decisions requiring attention.
• Engage confidently with senior leadership across Technology and Business on AI delivery, governance and escalations.
• Provide a single, reliable view of AI progress so leaders can make timely, informed decisions.

• Work closely with the CTO organisation on platform delivery timelines, engineering capacity and technical dependencies.
• Partner with Business Unit CIOs to understand demand, align priorities and report on value realisation.
• Maintain an active stakeholder map to ensure key relationships are managed effectively.

• Influence across a complex matrix of Technology, Business, Risk and Control stakeholders without direct authority.
• Promote transparency, pace and outcome orientation, ensuring the AI Execution Office is seen as an enabler of delivery.
• Establish delivery standards, templates and ways of working that drive consistency and professionalism.

The role holder will balance competing demand and constrained capacity, ensuring delivery decisions support both immediate execution needs and the long-term enterprise AI strategy. They will be required to:

• Make operational decisions on programme sequencing, enablement squad allocation and escalation routes within the strategic framework set by the Group CIO.
• Determine appropriate governance routes for AI initiatives, balancing speed, risk and compliance requirements.
• Shape reporting cadence, content and format to support senior stakeholder engagement and decision quality.
• Apply judgement on when to resolve issues directly and when material items require senior escalation.

• Assess AI portfolio health, investment efficiency and value realisation trends using structured analysis.
• Translate adoption, ROI, cost and usage data into actionable insights for executive audiences.
• Balance near-term delivery pressure with the long-term enterprise AI roadmap.
• Identify where processes, governance or operating model elements need to evolve to support scale.
• Use data-driven insight to inform prioritisation, resourcing and performance improvement.

Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise-Wide Risk Management Framework and internal Barclays Policies and Policy Standards.

The role holder will need to be a proven technical and execution leader who can demonstrate some or all of the following experience and attributes:

• Executive-level written communication, briefingpreparationand presentation skills.
• Strong planning, governance, deliverytrackingandprioritisationcapability.
• Ability to manage complex stakeholder relationships across business,technology and control functions.
• Strong analytical capability, with ability tosynthesisecomplex inputs into clear insights and action plans.
• Experience managing dependencies, risks, issues,actions and decisions across multiple work streams.
• Commercial awareness and ability to support value,benefit sand investment transparency.
• Understandingofresponsible technology delivery,riskand control considerations in a regulated environment.
• Highproficiencyin creating senior management materials,dashboard sand narrative updates.

• Bachelor’s degree or equivalent professional experience.
• Significant experience in enterprise transformation, technology strategy, delivery management, chief of staff, businessmanagementor strategic execution roles.
• Demonstrable experience engaging with senior executives and cross-functional leadership teams.
• Proven ability tooperateacross global teams and manage multiple priorities concurrently.
• Strong understanding of AI, data, digital or technology transformation trends, with willingness to…