Managing Consultant/Senior Manager- Data & AI Architecture
hace 2 días
Manchester
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 purpose‑driven technology. \n Join our Data & AI Strategy team and be part of the future of AI consulting. We are not just advising clients; we’re actively disrupting traditional consulting models by embedding AI into every aspect of how we work. We’re looking for changemakers with recent, hands‑on experience in AI development – people who understand the technology and can connect it to the bigger picture. You’ll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. \n YOUR ROLE \n This role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance to AI sovereignty in enterprise architecture and enabling the AI‑empowered workforce of tomorrow, you’ll be working at the cutting edge of what’s next. \n We DESIGN next‑generation data, analytics and AI platforms – you will 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). \n We ENABLE hybrid cloud transformation – you will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud‑native solutions that unlock agility and performance. \n We INNOVATE with AI‑driven data solutions – you will 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. \n We AUTOMATE for speed and reliability – you will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure‑as‑Code tools (Terraform, CloudFormation). \n We ADVISE on enterprise data strategy – you will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption. \n We DELIVER impact through design excellence – you will champion user‑centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability. \n We SUPERCHARGE delivery – we leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks. \n As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: \n • Business Development – leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events., • Internal contribution – campaign development, internal think‑tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development., • Growth mindset and curiosity – you’re always learning, experimenting with new technologies, and pushing the boundaries of what’s possible., • Strategic thinking – you have strong problem‑solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations., • Excellent communication and collaboration skills – you’re confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives., • Strong understanding of data and AI technologies – whether through hands‑on development or strategic project exposure, you can confidently engage with AI concepts and tools., • 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, BigQuery, Synapse or others., • 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 Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI use cases., • Modern Data Patterns – solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric., • Migration & Transformation – experience migrating legacy systems to cloud‑native data stores., • Consulting & Commercial Acumen – strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships., • 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, BigQuery, Synapse or others., • 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 Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI use cases., • Modern Data Patterns – solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric., • Migration & Transformation – experience migrating legacy systems to cloud‑native data stores., • Consulting & Commercial Acumen – strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships., • Domain Experience – primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport., • Knowledge of cloud cost management tools and best practices to optimise spend and maximise value.