About the Job you are considering
We are seeking a Lead Data & AI Engineering Manager to lead cross‑functional engineering teams in the design, build, and delivery of data‑intensive platforms and AI‑powered solutions supporting Balance Sheet Management (BSM).
You will own end‑to‑end delivery across the data and AI lifecycle, ensuring solutions are scalable, secure, well‑governed, and aligned to strategic business outcomes within a highly regulated banking environment.
This role requires strong technical leadership, close collaboration with business and product stakeholders, and hands‑on experience delivering advanced data and AI solutions at scale.
Hybrid working
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role
- Lead cross‑functional engineering teams to design, build, and deliver data‑powered solutions aligned with strategic business priorities.
- Own end‑to‑end delivery across the data and AI lifecycle for Balance Sheet Management (BSM), from data ingestion and modelling to ML model development, deployment, and ongoing monitoring.
- Act as the AIPX Delivery Manager, leading the design and delivery of robust data pipelines and high‑quality derived data products aligned with AIPX architecture and performance standards.
- Provide strong technical leadership across data architecture, cloud engineering, and AI/ML capabilities to ensure scalable, secure, and well‑governed solutions.
- Collaborate closely with product owners, data teams, and business stakeholders to prioritise backlogs, manage risks and dependencies, and translate requirements into actionable technical plans.
- Establish and enforce engineering best practices, including coding standards, DevOps and MLOps pipelines, testing frameworks, and technical documentation.
- Drive innovation by evaluating emerging data and AI technologies, leading proofs of concept, and embedding Responsible AI principles across delivery.
- Work across multiple technology teams within the bank, contributing to large‑scale application and platform development.
Your Skills
Core Technical Skills
- Strong knowledge of AI techniques and approaches, with hands‑on experience applying AI in previous roles.
- Strong understanding of Generative AI models and LLMs, with the ability to select the right model for specific business use cases.
- Experience using AI tools and platforms to accelerate idea value delivery.
- Strong technical background across data architecture and data engineering, cloud engineering, and AI / Machine Learning platforms.
- Proven experience delivering solutions in a highly regulated organisation.
- Strong knowledge of large‑scale application development and working across multiple technology teams in a banking environment.
Additional Skills
- Experience leading fast‑paced delivery teams with close alignment to business functions.
- Knowledge of best‑practice delivery and production support models.
- Experience establishing modern engineering practices across development teams.
- Knowledge of agentic workflow orchestration (advantageous).
- Knowledge of specification‑driven development and modern AI‑enabled engineering practices to support an automated SDLC (advantageous).
- Strong stakeholder management and communication skills.
We are a Disability Confident Employer
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who declare they have a disability and meet the minimum essential criteria for the role. Please opt in during the application process.
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