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Oliver Wyman – Quotient; AI – Engagement Manager

Job in Washington, District of Columbia, 20022, USA
Listing for: Marsh
Full Time position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below
Position: Oliver Wyman – Quotient (AI) – Engagement Manager

Join to apply for the Oliver Wyman – Quotient (AI) – Engagement Manager role at Oliver Wyman.

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
  • Managing the execution of individual project modules, including hypothesis development, analytics definition, data collection, operating model creation, primary and secondary research, insight surfacing, and overcoming information limitations.
  • Working closely with data scientists, engineers, and other specialists to translate client needs into technical requirements, supporting the technical team in delivering solutions from proof‑of‑concept to production deployment.
  • Continuously learning about artificial intelligence, technology, and its implications on client businesses, customers, and society.
  • Supporting our Partner group in project delivery through accurate, high‑quality engagement execution.
  • Developing executive client relationships, designing materials, and presenting to a wide range of audiences while 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 strategy.
  • Coaching consultants and helping them develop their skill sets.
Experience Requirements
  • 5-7 years of relevant experience, ideally 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.
Desired Experience
  • 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 public cloud environments (AWS, Azure, Google Cloud Platform), focusing 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.
Attributes
  • 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.
Values &…
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