Oliver Wyman – Quotient (AI) – Engagement Manager

Marsh McLennan•San Francisco, CA

1d•Hybrid

About The Position

PRACTICE OVERVIEW At Oliver Wyman Quotient , we empower organizations to unlock the full potential of artificial intelligence across their transformation journeys. Our global team of 1,600+ consultants, data scientists, engineers, strategists, and designers partner with clients to scale AI responsibly, optimize operations, and discover new value streams. We combine deep technical expertise with industry insight and workforce design to deliver production-grade solutions, accelerate innovation, improve adoption, and drive measurable impact. Quotient is more than an AI offering—it’s a compass for navigating the AI revolution. We help clients develop and activate AI strategies, build robust technical capabilities, and foster a culture of innovation. By co-creating solutions and embedding advanced analytics, we enable our clients to harness the value of 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. Just as every client project is different, so we recognize and value the diversity of backgrounds and skill sets for successful Engagement Manager candidates. We are seeking high-caliber individuals who want to join our winning team.

Requirements

5-7 years of relevant experience, i deally with a top-tier strategy, technology or analytics consulting firm or in a technical product management team
A strong technical background in Computer Science or Data Science
Track record of leading and managing teams, and delivering against tight deadlines in fast-paced, demanding environments.
Strong background in strategic problem solving with demonstrable analytical skills
Ability to apply technology and data expertise to solve business problems through AI, including the design and deployment of machine learning, generative AI, and advanced analytics solutions
An undergraduate or advanced degree from a top academic program
A genuine passion for technology and solving problems
A pragmatic approach to solutioning and delivery
Excellent communication skills, both verbal and written
A clear commitment to creating impactful solutions that solve our clients’ problems
The ability to work fluidly and respectfully with our incredibly talented and diverse team
A willingness to travel
Unrestricted U.S. work authorization is required for U.S. office locations. Oliver Wyman does not offer sponsorship for this position. Please note that CPT and OPT are restricted forms of work authorization

Nice To Haves

Proven track record in managing cross-functional teams for AI product delivery, including collaboration between data scientists, software engineers, and business stakeholders to accelerate AI adoption and deliver measurable business impact
Experience working across the AI technology stack, including data engineering, model development, deployment pipelines, and integration with various public cloud environments (e.g., AWS, Azure, Google Cloud Platform), with a focus on scalable, secure, and maintainable AI architectures
Experience working on Generative AI applications, including solution design, retrieval augmented generation (RAG), agentic frameworks, prompt engineering and evaluation methods
Strong familiarity with technology artifacts, including conceptual, logical and physical architecture diagrams

Responsibilities

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 other specialists to translate client needs into technical requirements, and supporting the technical team in delivering a solution, ranging from a proof-of-concept to a production deployment.
Continuously learning about artificial intelligence, technology and its implications on our client’s businesses, customers and society
Supporting our Partner group in project delivery through accurate and high-quality engagement execution
Developing executive client relationships, designing materials and presenting to a wide range of audiences, and working day-to-day with clients and other stakeholders.
Reporting to Principals and collaborating with Partners, effectively seeking guidance on business, operations and technical senior-level steer to engagements
Coaching consultants and helping them develop their skill sets