Invent - Contextual Systems Engineer Managing Consultant

Atlanta, Chicago, New York, San Francisco, Seattle

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.

Our unified team model brings together expertise across Data & AI Advisory, Data Platforms & Architecture, and Applied Data Fusion, enabling seamless collaboration from strategy through execution. We work with leading organizations across industries including manufacturing, energy, consumer products, and life sciences to design future‑ready capabilities and accelerate value realization.

The DDT team is recognized for:

• Enabling Generative AI to improve efficiency and unlock new sources of innovation
• Applying data and AI to sustainability and digital transformation initiatives
• Designing scalable, reusable data and AI products
• Delivering value quickly in complex, fast‑moving environments

As a Managing Consultant, Contextual Systems, you will lead the end‑to‑end design and delivery of enterprise context platforms that enable AI systems to understand and operate on business knowledge  will own the architecture vision for a client’s semantic and knowledge layer, manage delivery teams, and ensure solutions meet both technical standards and business requirements.

You will serve as a trusted advisor to VP‑level client leaders, including data architects, CDOs, and engineering executives, owning the technical relationship and guiding platform decisions. Operating with significant independence, you are accountable for engagement quality, team performance, and client satisfaction.

In addition to client delivery, you will contribute to account growth and practice development, helping shape DDT’s contextual systems methodology, reusable accelerators, and architectural standards.

Core responsibilities include:

• Leading end‑to‑end design and delivery of enterprise context platforms for major clients
• Architecting knowledge graph solutions, semantic layers, and context store infrastructure at scale
• Owning technical relationships with client data, AI, and engineering leadership
• Establishing platform governance standards, versioning protocols, and reusable architectural patterns
• Managing delivery teams to ensure quality, timeliness, and alignment with client objectives
• Contributing to DDT’s contextual systems methodology and accelerator library
• Driving account expansion by identifying adjacent platform and architecture opportunities

Required:

• 7–9 years of experience in data or knowledge architecture, with enterprise‑scale delivery experience
• Deep expertise in semantic layers, knowledge graphs, and metadata management
• Proven experience leading technical delivery teams in consulting or client‑facing environments
• Strong understanding of AI/ML integration patterns and governed data infrastructure
• Demonstrated ability to architect platforms designed to scale and endure beyond the engagement

Beneficial experience:

• Experience across cloud data platforms such as Big Query or Snowflake
• Familiarity with governance and catalog tooling (e.g., Collibra, Atlan)
• Interest in applied AI, contextual systems, and agent‑enabled architectures

The base compensation range for this role in the posted location is: $ - $.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may…