Oliver Wyman – Quotient (AI) – Engagement Manager or Principal

About the role

Oliver Wyman Quotient empowers organizations to scale AI responsibly, optimize operations, and discover new value streams. The Engagement Manager and Principal roles focus on delivering production-grade AI solutions, accelerating innovation, improving adoption, and driving measurable impact. Responsibilities span AI strategy development, technical capability building, and fostering a culture of innovation through collaborative co-creation and advanced analytics.

Responsibilities

• Engagement Manager:
  • Manage execution of individual project modules, including hypothesis development, analytics definition, data collection, operating model creation, primary/secondary research, and insight surfacing.
  • Collaborate with data scientists, engineers, and specialists to translate client needs into technical requirements and support delivery from proof-of-concept to production deployment.
  • Stay current with AI, technology, and business implications for clients, customers, and society.
  • Support Partners in accurate, high-quality engagement execution and coach consultants to develop their skill sets.
  • Develop executive client relationships, design materials, present to diverse audiences, and work day-to-day with clients and stakeholders.
  • Report to Principals, seek senior-level guidance on business, operations, and technical direction, and collaborate with Partners to influence client and team outcomes.
• Principal:
  • Deploy best practices, expertise, and firm-wide technical competencies to deliver successful projects.
  • Guide and influence client and team thinking to drive outcomes.
  • Identify opportunities, build business, contribute to thought leadership, and maintain expert-level knowledge to progress toward Partnership.

Requirements

• 5–7 years of relevant experience, ideally with a top-tier strategy, technology, or analytics consulting firm or in a technical product management role.
• Strong technical background in Computer Science or Data Science.
• Proven ability to lead and manage teams and deliver under tight deadlines in fast-paced environments.
• Strong strategic problem-solving skills with demonstrated analytical ability.
• Ability to apply technology and data expertise to solve business problems through AI, including design and deployment of machine learning, generative AI, and advanced analytics solutions.

Qualifications

• Desired:
  • Track record managing cross-functional teams for AI product delivery, including collaboration among data scientists, software engineers, and business stakeholders to accelerate AI adoption and deliver measurable business impact.
  • Experience across the AI technology stack: data engineering, model development, deployment pipelines, and integration with public cloud environments (e.g., AWS, Azure, Google Cloud Platform), with emphasis on scalable, secure, and maintainable AI architectures.
  • Experience with Generative AI applications, including solution design, retrieval-augmented generation (RAG), agentic frameworks, prompt engineering, and evaluation methods.
  • Familiarity with technology artifacts such as conceptual, logical, and physical architecture diagrams.

Attributes

• Undergraduate or advanced degree from a top academic program.
• Genuine passion for technology and problem-solving.
• Pragmatic approach to solutioning and delivery.
• Excellent verbal and written communication skills.
• Commitment to creating impactful solutions that solve client problems.
• Ability to work fluidly and respectfully with diverse, talented teams.
• Willingness to travel.

Pay

The base salary range for this role is $225K–$240K. Base pay is determined based on factors such as experience, skills, training, location, certifications, and education, with decisions made on a case-by-case basis. Performance-based incentives may also be available.

Benefits

• Health and welfare benefits.
• Tuition assistance.
• 401K savings and other retirement programs.
• Employee assistance programs.