Oliver Wyman – Quotient (AI) – Engagement Manager
AI summary of the role
Oliver Wyman Quotient seeks an Engagement Manager to lead AI transformation projects, managing cross-functional teams of data scientists and engineers to deliver production-grade AI solutions.
What you’ll do
- Manage execution of individual project modules including developing hypotheses, defining analytics, managing data collection, and surfacing insights
- Work closely with data scientists and engineers to translate client needs into technical requirements and support solution delivery from proof-of-concept to production
- Develop executive client relationships, design materials, and present to a wide range of audiences
- Report to Principals and collaborate with Partners, seeking guidance on business, operations, and technical steer
What you’ll bring
- 5-7 years of relevant experience, ideally with a top-tier strategy, technology or analytics consulting firm or in a technical product management team
- Strong technical background in Computer Science or Data Science
- Track record of leading and managing teams and delivering against tight deadlines in fast-paced environments
- Strong background in strategic problem solving with demonstrable analytical skills
Technologies
machine learning · generative AI · retrieval augmented generation · agentic frameworks · prompt engineering · AWS · Azure · Google Cloud Platform · data engineering · advanced analytics
About Marsh & McLennan
Advises organizations on risk, insurance, reinsurance, benefits, investments, and management consulting, combining broker market access with global analytics and operating scale.
Public · 5000+ people
Source and classification
Deployment team leadership · Evidence for this classification:
AI in everything they do, from improving customer experience to driving sustainable growth. Above all, we work collaboratively with client teams to ensure lasting results and readiness for tomorrow’s opportunities. ____ THE ROLE AND RESPONSIBILITIES The Engagement Manager position offers excellent career and growth opportunities for talented, highly motivated professionals with significant prior experience. As a professional member of our firm, your initial responsibilities will include: Managing the execution of individual project modules. This typically includes a combination of developing hypotheses, defining analytics to support project outcomes, managing data collection, operating model creation and analyses, conducting primary and secondary research, creatively tackling information limitations, and surfacing insights. Working closely with data scientists, engineers and otherHow jobs are selected
Employer postings · Data from · Sources