Contextual Systems Engineer Management Consultant

Capgemini • Chicago, IL

1d • $127,500 - $249,350 • Hybrid

About The Position

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.

Requirements

• 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
• Strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation.
• Ability to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiveness.
• Experience working in AI‑augmented ways of working to enhance research, analysis, and solution development.
• Ability to collaborate effectively across strategy, technology, data, and design to enable AI‑driven solutions.
• Solid understanding of responsible AI principles such as ethics, privacy, security, and governance.
• Curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed