Manager - Insurance Technology, Data & Analytics

Our PwC UK Technology, Data & Analytics team helps organisations turn data into a strategic asset by combining deep industry knowledge with practical delivery expertise across data strategy, architecture, engineering, analytics and AI. We work with clients to modernise their technology landscape, improve decision-making and build the foundations for sustainable transformation.

As a Manager, you will take a leading role in complex engagements that shape how clients design, govern and use data across their business. You will work closely with senior stakeholders to solve high-value problems, develop market-facing propositions and bring together multi-disciplinary teams across technology, data, finance and operations.

What Your Days Will Look Like:

In this role, you'll lead client engagements across technology, data and analytics priorities, including:

Data Transformation & Architecture: Designing and delivering enterprise data transformation programmes and modern data architectures (cloud-native platforms, data mesh and data fabric), ensuring solutions are scalable, practical and fit for insurance use cases.

Solution Design and Delivery: Supporting the design and implementation of data and analytics solutions across insurance functions, including actuarial analytics, IFRS 17 and finance data solutions, sub-ledger integration, workflow redesign and automation using low-code and no-code technologies.

Programme and Engagement Leadership: Leading multidisciplinary teams across large transformation programmes or multiple engagements, with accountability for delivery, commercials, risk management and senior stakeholder engagement.

Business Development & Proposition Development: Contributing to go-to-market activity by developing data transformation propositions, building strong client relationships and identifying opportunities to extend engagements across data, technology, finance and operations.

Data Strategy and Governance: Supporting enterprise-wide data strategies and operating models, embedding sustainable data management and AI practices, and advising on data quality, lineage and controls to meet regulatory and reporting requirements.

AI & Advanced Analytics: Embedding AI and advanced analytics within data transformation programmes, including data readiness for AI, process automation and AI-enabled tooling.

Client Delivery: Overseeing multiple concurrent projects to ensure high-quality, commercially relevant and timely delivery.

Client Management: Building trusted senior relationships, acting as a strategic advisor and identifying opportunities to create additional value.

Business Development: Supporting practice growth through originating and shaping opportunities and contributing to proposals, bids and proposition development.

Team Leadership: Leading, coaching and developing junior team members within a collaborative, inclusive and high-performance culture.

Market Insight: Staying up to date with insurance, technology, data and AI trends and translating these into client impact and proposition enhancements.

Collaboration: Working closely across PwC to deliver joined-up solutions spanning technology, data, analytics, risk, finance and operations.

• You have extensive experience leading data transformation programmes within the insurance sector, covering strategy, architecture, solution design and delivery.
• Experience in consulting or advisory within the insurance sector, ideally spanning both client delivery and business development responsibilities.
• Demonstrated ability to lead large programmes and multi-engagement portfolios, managing senior stakeholders and diverse delivery teams.
• Strong understanding of the complexity of insurance markets and insurance data, shaped by regulatory scrutiny, customer expectations and legacy environments.
• Experience designing or overseeing modern data platforms, including cloud-based architectures, data mesh or data fabric approaches.
• Knowledge of regulatory drivers such as Solvency II and IFRS 17, and data management frameworks such as DAMA, to support improvements in governance, maturity and reporting.
• Experience with actuarial, finance or wider insurance data transformation use cases, including reporting, controls and platform modernisation (desirable).
• Understanding of AI, automation and advanced analytics use cases within regulated environments, including data readiness and governance considerations (desirable).
• Experience shaping client propositions, developing go-to-market approaches and supporting business development in a professional services environment (desirable).
• Ability to translate complex technical topics into clear, commercially relevant messages for senior client stakeholders (desirable).
• A collaborative leadership style, strong judgement (desirable).

PwC provides services to 420 out of 500 Fortune 500 companies. The firm was formed in 1998 by a merger between Coopers & Lybrand and Price Waterhouse.