Managing Consultant - Asset Analytics

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Your Role

Capgemini Invent is the digital innovation, design and transformation arm of the Capgemini Group that helps CXOs envision and shape the future of their organisations.

Within Invent, the Enterprise Data Analytics (EDA) team specialises in delivering analytical solutions and advisory services that help major private and public sector clients unlock value using data and artificial intelligence.

As a Managing Consultant – Asset Analytics within EDA, your work will involve proposing and developing analytical and AIenabled solutions that result into actionable insights to improve performance, reliability, cost efficiency, and risk management. You will collaborate with engineering, operations, and business teams to translate strategic objectives into validated solutions that support both day-to-day decision-making and long-term planning in asset-, infrastructure-, and process-heavy industries such as Aerospace & Defence, Manufacturing, Energy or Transport.

This role involves working closely with clients and internal stakeholders to translate complex process and operational challenges into robust solutions that drive measurable impact.

As a valued Managing Consultant in our Operational Analytics team, you will be involved in creating compelling offers and propositions, building capability and delivering projects on client side against the following areas:

• Lead a project workstream or a small project, ensuring delivery quality and alignment with client objectives.
• Work directly with clients to providing industry-leading advice and solutions, leveraging the latest Generative AI and Agentic AI technologies to drive real transformational change
• Translate technical outputs into clear business insights, supporting proposals and client presentations.
• Engage with client stakeholders to gather requirements and communicate progress effectively.
• Contribute to business development, including drafting proposals and identifying opportunities for value creation.
• Support internal capability building, through mentoring, developing reusable frameworks, and sharing best practices.

Your ideas matter. We’re looking for dynamic individuals with the vision and energy to drive meaningful change for our clients and within our organisation. In addition to your client-side role, you will take ownership of projects in the following areas:

• Business Development – Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.
• Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development.
• Learning & development – Build team capability by offering development opportunities that strengthen professional growth and prepare the team for future skill demands.
• Training to support your career development and meet evolving skill demands within the company.

Your Profile

You should have a skillset that combines rigorous thinking, creativity, and thoughtful leadership.

Below are some of the key skills and experiences we look for. We don’t expect every candidate to meet all of these criteria — we’re building a diverse team with a broad range of strengths, backgrounds, and experiences.

We look for individuals who bring experience in some of the following areas:

• Multi paradigm simulation (discrete event simulation, agent-based simulation, system dynamics) for complex systems.
• V&V including parameter tuning, sensitivity, and uncertainty checks.
• Scenario testing for bottlenecks, capacity, resilience, and policy impacts.
• Digital twins using live data, telemetry, and event streams for forecasting.
• Ope rationalising models with versioning,…