Capgemini Invent- Contextual Systems Engineer Managing Consultant

At Capgemini Invent, our Data Driven Transformation (DDT) team makes AI work at scale by combining data science and engineering with business consulting. We build context-driven analytics and GenAI/agentic systems that reflect how decisions and work actually happen-grounded in semantic layers, strong data foundations, and governance embedded in decision flows.

With a builder-advisor ("forward deployed") mindset, DDT delivers production-ready impact across operations and customer domains, redefining what enterprise AI advisory looks like in practice.

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 at scale. You 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.

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

You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI-augmented ways of working to enhance research, analysis, and solution development.

You collaborate effectively across strategy, technology, data, and design to enable AI-driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance. You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.

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

Experience across cloud data platforms such as BigQuery 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: $127,500 - $249,350