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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