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Process Optimization - BU Client Coverage

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Morgan-Stanley
Full Time position
Listed on 2026-06-12
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Process Optimisation is seeking a highly skilled and motivated strategy and solutions professional to join our team at Morgan  the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

The Process Optimization Fleet is focused on improving the efficiency and effectiveness of key firm processes by bringing together process reengineering, automation, generative artificial intelligence (GenAI), and other capabilities to support making the firm a more digital and streamlined organization. The Strategy and Transformation team at Morgan Stanley is a dynamic and innovative organization that serves as a center of AI enablement for the firm.

The team is responsible for deploying advanced systems that GenAI to optimize business processes. The team oversees governance and control measures to ensure the ethical and responsible use of automation technologies. The team is committed to fostering a culture of continuous learning and providing education on AI technologies to other departments within the company.

What you’ll do in the role:

Internal Client Coverage and Strategic Advisory Partner closely with business leaders, client coverage teams, and senior stakeholders to provide strategic advice on GenAI and automation opportunities, operating models, and adoption priorities. Support the development of AI-enabled client solutions and ensure alignment with broader business and regional objectives.

Process Reengineering and Workflow Transformation Apply a process reengineering mindset to analyse and deconstruct complex business workflows, operational processes, and decision-making activities across the organisation. Identify opportunities to simplify, redesign, and automate processes through the application of GenAI, intelligent automation, and workflow optimisation capabilities. Partner with business units to reimagine operating models and support the strategic implications of process transformation, helping teams improve efficiency, scalability, control, and user experience while aligning to broader business objectives and regulatory requirements.

Stakeholder Engagement and Change Management Drive engagement and adoption of GenAI and automation capabilities across EMEA through effective stakeholder management, communication, and change initiatives. Partner with business, operations, and technology teams to promote awareness, identify adoption opportunities, and support the successful integration of AI-enabled processes into day-to-day workflows.

Operating Model and Capability Development Support the development and maturation of the AI and automation operating model, including governance processes, delivery frameworks, and best practices and human in the loop control considerations. Help build scalable regional capabilities by identifying skills gaps, supporting training initiatives, and fostering collaboration across business, technology, and control functions to accelerate responsible AI adoption.

Strategic Planning, Value Realisation and Execution Support the execution of the Ops and EMEA GenAI strategy, aligned with firmwide priorities and business goals. Monitor the performance, adoption, and impact of GenAI use cases, providing regular updates, insights, and recommendations to senior leadership and governance forums. Define and track success metrics, operational efficiencies, cost optimisation opportunities, and return on investment for AI and automation initiatives.

Regional Leadership and PMO Coordination Act as a key coordination point between Firmwide programmes and EMEA regional AI initiatives, including regulatory and strategic programmes such as the EU AI Act. Lead programme management activities across multiple stakeholders, ensuring effective prioritisation, execution, reporting, and alignment with global standards while addressing regional…
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