Oliver Wyman Quotient (AI) Engagement Manager or Principal

Engagement Manager

The 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 experience:

• 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 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

Our values & culture:

• Rewarding work : We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 "Best Companies to Work For", and you get a rewarding combination of challenge, support and recognition.
• Progressive employment : Flat organizational structures, resolute I&D values and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time.
• Enjoyable days : We want our team members to build a career hereand to be happy. That makes us serious about caring for, mentoring, developing and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time.
• Balanced lives : Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours.