Manager - Insurance Technology, Data & Analytics

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Risk

Management Level

Manager

Job Description & Summary

About the role: 

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.

The role is for you if:

• 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).

What you’ll receive from us: 

No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. 

We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more. 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 43 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Up to 20%

Available for Work Visa Sponsorship?

Yes

Government Clearance Required?

No

Job Posting End Date