Overview Managing Consultant / Senior Manager – Data & AI Architecture
At Capgemini Invent, our Data & AI Strategy team delivers cutting‑edge AI and data platform solutions. We embed AI across all layers of the business, driving transformation from strategy to execution.
Responsibilities
Design and lead the architecture and development of scalable, secure, and cost‑efficient data, analytics, and AI platforms powered by AWS, GCP, and Azure.
Implement modern hybrid data architectures (Snowflake, Redshift, BigQuery) and drive migration of legacy systems to cloud‑native solutions.
Create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, aligning with enterprise objectives and delivering measurable business value.
Build and streamline data pipelines, infrastructure provisioning and deployments using DevOps practices, CI/CD and Infrastructure‑as‑Code tools such as Terraform and CloudFormation.
Shape enterprise data strategy, develop architecture blueprints, roadmaps and communication plans that engage stakeholders and drive adoption.
Champion user‑centric design and storytelling, applying industry frameworks (TOGAF, DAMA) and best practices to ensure consistency, compliance and scalability.
Leverage AI to accelerate delivery, experiment with new technologies and automate tasks to enhance innovation.
Contribute to business development through proposals, RFPs, bids, client pitches and events.
Engage in internal contribution activities including campaign development, whitepapers and practice development.
Participate in learning and development opportunities, including training and certifications.
Qualifications
10+ years of experience in data technologies and architecture with a strong consulting background.
6+ years designing, implementing and managing cloud‑based architectures (AWS, Azure, GCP) and modern data solutions (Snowflake, Databricks, BigQuery, Synapse).
Proficiency in Infrastructure‑as‑Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices.
Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric.
Experience migrating legacy systems to cloud‑native data stores.
Strong strategic thinking, analytical skills and the ability to structure complex challenges with actionable recommendations.
Excellent communication and collaboration skills, able to engage stakeholders at all levels.
Growth mindset, curiosity and a passion for learning and experimenting with new technologies.
SC Cleared / Eligible.
Domain expertise in UK Public Sector, BFSI, CPRD, Telecoms or Transport is highly desirable.
Knowledge of cloud cost‑management tools and best practices to optimise spend.
Proven track record of applying Agile methodologies and leading cross‑functional teams to deliver complex data and AI solutions.
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