Role Overview

Provide executive leadership for the Global Delivery Agentic AI portfolio, connecting business priorities with platform capabilities, disciplined POD execution and responsible AI controls. The role establishes the operating model, portfolio governance and delivery standards required to industrialise Agentic AI in a highly regulated environment. Business domains retain ownership of implementation, adoption and realised outcomes; GDS acts as the accelerator, coordinator and control point.

Key Responsibilities

Enable Use Case Strategy & Portfolio Prioritisation

• Set Strategy and Priorities of Portfolio
• Define the Agentic AI transformation strategy, multi-year roadmap and investment priorities for Global Delivery.
• Establish a consistent intake, assessment and shaping approach, prioritising use cases by strategic alignment, value, readiness, risk and capacity.
• Shape the enterprise platform and product strategy with Technology, including reusable agents, orchestration, data and knowledge capabilities.
• Provide executive oversight of POD mobilisation, delivery cadence, milestones, quality standards and MVP readiness.
• Remove blockers across Product, Technology, Operations, Risk, Compliance, Legal and Control functions, while maintaining clear business ownership.
• Define how Agentic AI should simplify work, decision-making, controls and organisational structures, including effective human-agent collaboration.
• Connect Agentic AI delivery with process re-engineering, workforce transformation and change adoption across Global Delivery.
• Ensure solutions are designed for scalability, resilience, sustainability and operational readiness from the outset.
• Enable a structured transition from MVP to business-led implementation, with clear ownership, adoption plans and outcome measures. 
• Ensure alignment with enterprise AI, model risk, data, information security, compliance, audit and control requirements.

Experience Requirements

• 15+ years leading enterprise transformation, technology platforms, product organisations or strategic delivery portfolios, preferably within financial services.
• Demonstrated experience scaling AI, machine learning, advanced analytics, automation or digital platforms in a regulated environment.
• Strong understanding of Transaction Processing operations, including Fund Accounting, Middle Office, Transfer Agency and Custody.
• Proven success designing operating models, mobilising cross-functional teams and moving products from concept through MVP to enterprise adoption.
• Experience managing global teams, complex stakeholders, significant budgets and multi-year programmes.
• Executive-level communication and influence, including engagement with Boards, Executive Committees, risk and control functions, auditors or regulators.
• Working knowledge of cloud, data architecture, AI governance, model lifecycle management, security and resilient platform engineering.
• Bachelor’s degree or equivalent experience; relevant transformation, product, programme, Agile, data or AI qualifications are advantageous.

About State Street

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