Capgemini Invent- Contextual Systems Engineer Managing Consultant
A managing consultant role in Capgemini Invent's Data Driven Transformation team, based in Chicago: lead end-to-end design and delivery of enterprise context platforms (semantic layers, knowledge graphs, GenAI/agentic systems), advise VP-level client leaders, and manage delivery teams. Requires 7-9 years in data or knowledge architecture with consulting delivery experience.
- Compensation
- $127.5K–$249.4K / yr
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 7+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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
Nice to have
- 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
Full description
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.
About the Job You’re Considering
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.
Your Role
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.
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