Full-Time

Oliver Wyman

Quotient, AI, Engagement Manager

Updated on 5/12/2026

Marsh & McLennan

Marsh & McLennan

Compensation Overview

$225k - $240k/yr

+ Performance-based incentives

No H1B Sponsorship

Boston, MA, USA + 6 more

More locations: Houston, TX, USA | Washington, DC, USA | San Francisco, CA, USA | Dallas, TX, USA | Chicago, IL, USA | New York, NY, USA

In Person

Category
Consulting (2)
,
Required Skills
Data Science
Machine Learning
Requirements
  • Demonstrated: 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
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
Desired Qualifications
  • 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

Company Size

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Total Funding

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Headquarters

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Founded

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