Capgemini Invent - Contextual Systems Engineer Management Consultant

Capgemini•Atlanta, GA

About The Position

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 ConsideringAt Capgemini Invent, the Data Driven Transformation (DDT) team helps organizations unlock the full value of their data and AI investments to drive meaningful, scalable change. As part of Capgemini’s Strategy & Transformation Consulting practice, DDT partners with clients to shape data‑centric strategies, modern operating models, and AI‑enabled solutions that deliver measurable business outcomes. 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 Your RoleAs 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.

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

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

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