Company:Oliver Wyman
Description: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 ROLE AND RESPONSIBILITIESThe Engagement Manager position includes:
- 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
The Principal position includes:
- Understanding how to deploy best practice, your own (and your team's) expertise and the firm's wider technical competencies to deliver successful projects.
- Knowing how to guide and influence thinking for your clients and teams.
- Working towards being an Oliver Wyman Partner of the future by identifying opportunities and building business for the firm, contributing to thought leadership and maintaining expert-level knowledge in your areas of expertise.
YOUR EXPERIENCEJust 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. 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
- Desired:
- 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
____YOUR ATTRIBUTESOur team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny or serious, introverted or extroverted. We do, however, ask that you have:
- 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
____The applicable base salary range for this role is $225K- $240K
The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education. Decisions will be determined on a case-by-case basis.
In addition to the base salary, this position may be eligible for performance-based incentives.
We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.
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