Resilience Tooling, Automation & AI Manager
Monday 23 June 2025 Salary Range
£81,999 - £91,110 We support flexible working - click here for more information on flexible working options Flexible Working Options
Hybrid Working, Job Share Job Description Summary Job Description Job Title: Resilience Tooling, Automation & AI Manager Location: London . Hybrid working 40% of the working week in the office & the rest from home Salary & Benefits : £81,999pa to £100,000pa (dependent on experience and location), plus the benefits listed below Flexibility Works: We're extremely flexible employers, offering a range of options to suit your lifestyle including flexible hours, flex-summer holidays, flex-bank holidays, great parental support and a real focus on finding work-life balance! We're the Chief Data & Analytics Office (CDAO) within Lloyds Banking Group! The mission of Group Chief Data and Analytics Office is to promote, embed and commercialise Data and Analytics practice and culture across Lloyds Banking Group. The Data Resilience team is a new chapter within the Chief Data and Analytics Office. It has the responsibility to define and embed new Strategies, Operating Models and Control Frameworks to protect the Banks critical data services that our customers, colleagues and the market rely upon. Want to hear more? The aim of the team is to protect our customers, colleagues and markets by ensuring we comply with the spirit of the regulatory requirements for operational resilience established by the Bank of England, FCA and PRA. The Data Resilience Team was created as a sub-function to support the wider operational resilience regime, with a key focus on critical data assets. The Data Resilience team have 4 main objectives:
- Identify and define critical data assets that support our Important Business Services (IBS).
- Assess the level of resilience around those assets; and
- Collaborate with Platform and Engineering Teams to recommend improvements or changes to strengthen the Bank's data resilience position.
- Proven experience in operational resilience, risk management, or business continuity within financial services or a regulated environment.
- Strong knowledge of AI/ML technologies, model governance, and responsible AI principles.
- Understanding of machine learning models, natural language processing (NLP), and AI algorithms.
- Knowledge of model lifecycle: training, validation, deployment, and monitoring.
- Ability to assess and mitigate risks from AI systems (e.g., model drift, bias, explainability).
- Familiarity with resilience frameworks and regulatory expectations (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF).
- Experience working with AI/ML platforms and monitoring tools (e.g., MLflow, Azure ML, SageMaker, Databricks, Python etc).
- Excellent stakeholder management and communication skills.
- Technical background in AI/ML, data science, or software engineering
- Experience with cloud-native AI environments and SaaS-delivered AI products.
- Exposure to incident response and major event management involving technology failures.
- A generous pension contribution of up to 15%
- An annual bonus award, subject to Group performance
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 30 days' holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
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