Manager​/Senior Manager - Data Management

CAPGEMINI INVENT

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 clients’ challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Join our Data & AI Strategy team and be part of the future of AI consulting, where we’re not just advising clients, we’re actively disrupting traditional consulting models by embedding AI into every aspect of how we work.

• Design next‑generation data, analytics and AI platforms – lead the architecture and development of scalable, secure and cost‑efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).
• Enable hybrid cloud transformation – implement modern hybrid data architectures (e.g. Snowflake, Redshift, Big Query) and drive the migration of legacy systems to cloud‑native solutions that unlock agility and performance.
• Innovate with AI‑driven data solutions – create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value.
• Automate for speed and reliability – build and streamline data pipelines, infrastructure provisioning and deployments using Dev Ops practices, CI/CD and Infrastructure‑as‑Code tools (Terraform, Cloud Formation).
• Advise on enterprise data strategy – shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps and communication plans that engage stakeholders and drive adoption.
• Deliver impact through design excellence – champion user‑centric design and storytelling to create compelling data platform solutions. Apply industry frameworks (TOGAF, DAMA) and best practices to ensure consistency, compliance and scalability.
• Supercharge delivery – leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. Experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.

• Business Development – lead or contribute to proposals, RFPs, bids, proposition development, client pitch contribution and client hosting at events.
• Internal Contribution – campaign development, internal think‑tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.
• Learning & Development – training to support your career development and the skills demand within the company, certifications.

Key skills:

• Growth mindset and curiosity – always learning, experimenting with new technologies and pushing boundaries.
• Strategic thinking – strong problem‑solving and analytical skills, ability to structure complex challenges and develop clear, actionable recommendations.
• Excellent communication and collaboration – confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives.
• Strong understanding of data and AI technologies – confident engaging with AI concepts and tools through hands‑on development or strategic exposure.

Technology & consulting experience:

• Strategic Leadership in Data, Analytics & AI Architecture – proven experience shaping end‑to‑end solutions that enable AI/ML workloads and drive optimisation through automation.
• Strong industry expertise – 10+ years in data technologies and architecture, with strong consulting experience.
• Cloud data platforms – 6+ years designing, implementing and managing cloud‑based architectures such as AWS, Azure or GCP, and hands‑on experience with modern data solutions like Snowflake, Databricks, Big Query, Synapse.
• Certifications & technical depth – at least 3 intermediate‑level cloud certifications and expertise in cloud‑native AI data architectures.
• Infrastructure & automation – proficiency in Infrastructure‑as‑Code (Terraform, ARM Templates, Google…