Mercer Company · 5 months ago
Oliver Wyman – Quotient (AI) – Engagement Manager
Oliver Wyman is a global leader in management consulting, empowering organizations to unlock the full potential of artificial intelligence. The Engagement Manager will manage project execution, collaborate with technical teams, and develop client relationships to deliver impactful AI solutions.
Commercial Real EstateConsultingProperty ManagementReal Estate
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
Qualification
Required
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
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
Preferred
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
Benefits
Health and welfare benefits
Tuition assistance
401K savings and other retirement programs
Employee assistance programs