Global Delivery Simplification Managing Director - Agentic AI Transformation, Enablement & Delivery
Statestreet
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This role on the market
3 open simplification roles across 2 companies are on ApplySarthi right now, most of them in Hyderabad (1), Bengaluru (1).
What simplification roles keep asking for: Accounting (67%), Agile (67%), Machine learning (33%), Product management (33%) — counted across their open postings here.
Accounting jobs · Machine learning jobs
Statestreet has 1,135 open roles listed here.
- IT Audit - Global Markets, Assistant Vice President
- Head of Prime Services Operations, Managing Directorbengaluru
- Full Stack Software Engineer, Charles River Development, Senior Associate
- Client Onboarding, Senior Associatehyderabad
- Full Stack Software Engineer, Charles River Development, Officer
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for simplification roles keep coming back to Accounting, Agile, Machine learning, Product management. Practise those questions before you sit with Statestreet.
Questions you are likely to be asked
- Why do you want to join Statestreet?
- What is your experience with Accounting? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
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Practise the Global Delivery Simplification Managing Director - Agentic AI Transformation, Enablement & Delivery at Statestreet interview free →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 Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement
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Listed on workday · posted 2026-11-03. ApplySarthi collects openings and links to application pages; the role is advertised by Statestreet, not by us.