Quotient; AI – Engagement Manager
Listed on 2026-01-15
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IT/Tech
AI Engineer, Data Science Manager
Location: New York
Join to apply for the Oliver Wyman – Quotient (AI) – Engagement Manager role at Oliver Wyman
Practice OverviewAt 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 Engagement Manager position offers excellent career and growth opportunities for talented, highly motivated professionals with significant prior experience. Your initial responsibilities will include:
- Managing the execution of individual project modules, including hypothesis development, analytics definition to support project outcomes, data collection, operating model creation and analyses, primary and secondary research, creative problem‑solving, 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 solutions ranging from proof‑of‑concept to 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, seeking guidance on business, operations and technical strategy at senior levels.
- Coaching consultants and helping them develop their skill sets.
We value diversity of backgrounds and skill sets. Preference will be given to candidates with:
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.
- 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), with a focus on scalable, secure and maintainable AI architectures.
- Experience on generative AI applications, including solution design, retrieval‑augmented generation, agentic frameworks, prompt engineering and evaluation methods.
- Strong familiarity with technology artifacts, including conceptual, logical and physical architecture diagrams.
- An undergraduate or advanced degree from a top academic program.
- A genuine passion for technology and solving problems.
- A…
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