Manager, Life & Pensions Business Data Analyst, Engineering, AI & Data

We are looking for motivated, curious, team-orientated individuals to join our market-leading Insurance AI & Data delivery team, leveraging their knowledge of the Insurance sector and AI engineering skills to drive our clients’ growth and modernisation strategies forwards, especially as the use of AI, data and technology becomes more prevalent. We have extensive experience at the forefront of transformation programmes as Insurers build industry-leading capabilities, solutions and deliver differentiated growth.

As a Life & Pensions Business Data Analyst, you will help solve our clients’ most challenging business and data problems where your role will focus on stakeholder management, requirements gathering and prioritisation, process mapping and the ability to translate complex business needs into practical solutions ultimately helping clients to develop scalable solutions that support long-term business objectives.

In this role, you may be expected to:

• Serve as client-facing presence, building trusted advisor relationships and facilitate collaborative conversations with various client stakeholders.
• Build a detailed understanding of requirements across business stakeholder groups, recognising their nuances and complexity, navigating sensitivities effectively, and securing formal sign-off.
• Analyse, profile and reconcile client data using SQL to assess requirements and define transformations across actuarial and finance systems.
• Navigate organisational complexity and influence stakeholder groups, executive sponsors, IT leadership, and business owners to secure buy-in around a shared vision.
• Distil business conversations into clear delivery requirements, break down complex issues, and propose practical solutions.
• Rationalise and prioritise business requirements using techniques such as the MoSCoW method, while constructively challenging business thinking.
• Map and analyse current-state processes and design holistic future-state business processes.
• Apply data strategy frameworks to translate requirements into defined work packages covering areas such as data governance, regulatory standards, and platform integration.
• Bring solution concepts to life by developing practical use cases from business conversations.
• Coordinate multi-pod or multi-workstream engagements, ensuring a consistent client experience and confirming that the solution architecture meets the requirements of all relevant stakeholder groups.
• Enforce delivery standards across the pod, including sprint cadences, stakeholder communication plans, working groups and workshops, risk management, and project planning throughout the delivery lifecycle.
• Proactively manage client engagement during and after go-live, including defining the support model and planning an effective transition and roll-off.
• Mentor and develop junior business data analysts.
• Demonstrate a strong understanding of data strategy and data management.

We are looking for candidates who are able to demonstrate skills and experience in some of the following:

• Bachelor's degree (or equivalent) in Business Administration, Economics, Finance, Statistics or a related discipline.
• Professional experience in a client-facing environment, including substantial experience in a business analysis or data analysis role.
• Hands-on experience in the insurance sector, ideally within actuarial, regulatory reporting, or another finance-related area.
• Hands-on experience working in a project-based environment, with responsibility for owning and delivering defined outputs and a sound understanding of project delivery methodologies.
• Good understanding of data strategy, data governance and the core components of data solution.
• Proficiency with business analysis, diagramming and presentation tools (e.g. JIRA, Confluence, Visio, PowerPoint).

Preferred qualifications include:

• Experience leading a defined workstream, coordinating activities, and managing delivery against agreed outcomes.
• Experience working with cloud environments, such as AWS, Azure, or Google Cloud, and an understanding of common platform services, including storage, compute, identity and access management, and networking.
• The ability to work directly with business and technical teams, as well as programme stakeholders, in fast-paced and ambiguous delivery environments.
• Experience working effectively within hybrid onshore and offshore teams.
• Familiarity with data analysis and visualisation tools, such as Excel, SQL (via Databricks, Snowflake), and Power BI.
• Familiarity with AI-enabled delivery and the practical use of AI within a project-based environment.
• Experience supporting contract management activities, including monitoring deliverables, dependencies, and obligations.

At Deloitte, we understand the importance of balancing your career alongside your home life. That’s why we’ll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you’ll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely.

Making an impact is more than just what we do: it’s why we’re here. We want you. The true you. Your own strengths, perspective and personality. So we’re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution.