Oliver Wyman - AI Enablement Lead, Singapore

Oliver Wyman – AI Enablement Lead, Singapore Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman’s thought leadership is evident in our agenda-setting books, white papers, research reports, and articles in the business press. Our clients are the CEOs and executive teams of the top Global 1000 companies. Job Overview Oliver Wyman is seeking an experienced AI Transformation & Adoption Lead to support the adoption, integration, and scaling of AI capabilities across consulting teams and support functions in the region. This role sits at the intersection of strategy, execution, innovation, and change management, acting as a bridge between business needs and AI‑enabled solutions. The successful candidate will help accelerate productivity improvements and new ways of working by embedding AI tools (e.g., LenAI, ChatGPT, Claude) and agentic solutions into day-to-day consulting delivery and operational workflows. The role will partner closely with regional leadership, consulting teams, Support Professionals, Quotient Inside, Learning & Development, and technology stakeholders to help shape and execute the region’s AI transformation agenda. This is a highly collaborative, high‑impact role suited to someone who combines strong consulting and operational understanding with hands‑on AI literacy, structured problem solving, stakeholder engagement, and a passion for emerging technologies. Key Responsibilities AI Transformation & Adoption Support the implementation of Oliver Wyman’s AI transformation agenda across consulting and support functions Enable the practical integration of AI tools, copilots, assistants, automation platforms, and agentic workflows into day-to-day work Work directly with consulting and operational teams to identify opportunities to improve productivity, quality, consistency, and effectiveness Help teams translate AI opportunities into scalable, sustainable ways of working Support live project teams and operational stakeholders in applying AI‑enabled approaches within delivery workflows Strategy, Governance & Execution Partner with regional AI leadership and governance forums to support execution of the regional AI adoption strategy Help establish and maintain governance mechanisms for prioritization, delivery tracking, value realization, risk management, and adoption measurement Coordinate regional AI initiatives including boot camps, AI clinics, SWAT teams, communications, adoption campaigns, and use case scaling activities Contribute to the evolution of regional AI strategy as organizational AI maturity develops Capability Building & Change Management Collaborate with Learning & Development, global AI teams, practices, and functional leaders to design and deliver AI learning programs Facilitate workshops, training sessions, boot camps, and enablement activities for Consultants, Partners, Specialists, and Support Professionals Drive stakeholder engagement and change management activities to encourage sustainable adoption of AI‑enabled workflows Act as a trusted advisor to regional leadership on AI adoption opportunities, barriers, and organizational readiness Use Case Development & Solution Enablement Identify, curate, refine, and scale AI use cases developed across the regions and broader firm Translate promising ideas into reusable assets such as prompts, workflows, playbooks, assistants and lightweight automation tools Partner with technical and Quotient Inside teams to support development and prototyping of AI‑enabled solutions Build connectivity between local innovations and broader regional or global adoption opportunities Performance Tracking & Responsible AI Define and monitor KPIs related to adoption, productivity improvement, user engagement, and business impact Regularly report progress, risks, insights, and adoption trends to regional leadership Promote responsible and ethical AI usage aligned with firm policies, confidentiality requirements, and data privacy standards Stay current on emerging AI technologies, market trends, and internal platform developments Experience Required 5+ years of experience in management consulting, transformation, digital, operations, or related roles Hands‑on familiarity with LLMs, copilots, AI assistants, automation platforms, and agentic solutions Experience driving process improvement, workflow redesign, or operating model transformation at team, function, or organisational scale, for example, redesigning consulting delivery workflows, embedding AI into project execution processes, automating operational workflows across business functions, or leading enterprise productivity/transformation initiatives Experience influencing senior stakeholders and driving behavioural change across teams and/or leadership groups Strong track record of translating emerging technology capabilities into practical, scalable business use cases Skills and Attributes Demonstrated interest and hands on capability in prototyping AI‑enabled workflows, assistants, or tools Strong stakeholder management and influencing capabilities, including engagement with senior leadership Ability to translate business needs into practical AI‑enabled solutions and workflows Proven ability to drive adoption and change in matrixed environments Strong structured thinking and problem‑solving skills Able to communicate technical AI concepts in clear, practical business language for non‑technical audiences Collaborative mindset with the ability to work across business and technical teams High ownership, adaptability, and execution orientation in fast‑moving environments Strong understanding of consulting delivery and operational workflows Commitment to ethical and responsible AI practices Employment Practices and Workplace Policies Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office‑based teams will identify at least one “anchor day” per week on which their full team will be together in person. #J-18808-Ljbffr Marsh Insurance