Life & Pensions Data & AI Transformation Lead

Deloitte (UK); Alabama; Hybrid; USD 80,000 - 121,000; Full time

Job summary

Deloitte UK, London, is seeking a Life & Pensions Business Data Analyst to help solve our clients’ most challenging business and data problems, focusing on stakeholder management, requirements gathering, and process mapping to translate complex needs into practical solutions.

You’ll mentor junior analysts, apply data strategy frameworks, and coordinate multi-pod engagements, ensuring delivery standards, risk management, and a robust transition after go-live.

Qualifications

• Bachelor's degree (or equivalent) in Business Administration, Economics, Finance, Statistics or 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)

Responsibilities

• 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.

Skills

Stakeholder management

Requirements gathering

Process mapping

MoSCoW prioritisation

Mentor junior analysts

Data strategy

Education

Bachelor's degree (or equivalent) in Business Administration, Economics, Finance, Statistics or related discipline

Tools

JIRA

Confluence

Visio

PowerPoint

Job description

Deloitte UK, London, is seeking a Life & Pensions Business Data Analyst to help solve our clients’ most challenging business and data problems, focusing on stakeholder management, requirements gathering, and process mapping to translate complex needs into practical solutions.

You’ll mentor junior analysts, apply data strategy frameworks, and coordinate multi-pod engagements, ensuring delivery standards, risk management, and a robust transition after go-live.