Manager - Insurance Technology, Data & Analytics

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

TRS Consulting

Management Level

Manager

Job Description & Summary

About the role: 

Join PwC's Technology, Data & Analytics team and help some of the world's leading organisations unlock the value of their data. Combining expertise in data strategy, architecture, engineering, analytics and AI, we help clients modernise technology landscapes, improve decision-making and deliver sustainable transformation.

As a Manager, you'll lead complex data and technology engagements, shape innovative solutions, influence senior stakeholders and drive meaningful business outcomes. You'll play a key role in developing market-leading propositions, building trusted client relationships and collaborating with multidisciplinary teams across technology, data, finance and operations to solve challenging problems and create lasting impact.

 

What Your Days Will Look Like:

• Design and deliver enterprise data transformation programmes and modern data architectures, applying cloud-native technologies, data mesh and data fabric principles. Embed AI, advanced analytics and automation to create scalable, practical solutions that address insurance business challenges.
• Lead the design and implementation of data and analytics solutions across insurance functions, including actuarial, finance and reporting use cases. Improve decision-making through data governance, data quality, operating models, workflow optimisation and low-code/no-code technologies.
• Build trusted client relationships and act as a strategic advisor, overseeing the successful delivery of complex transformation initiatives. Ensure outcomes are commercially relevant, high quality and aligned to regulatory, operational and business objectives.
• Collaborate across multidisciplinary teams to deliver integrated solutions spanning data, technology, finance and operations. Contribute to proposition development and business growth opportunities while coaching and developing colleagues within an inclusive, high-performing team culture.

 

The role is for you if:

• Extensive experience leading insurance data transformation programmes, from strategy and operating model design through to architecture, implementation and business adoption.
• Strong expertise in modern data architectures and platforms, including cloud-native solutions, data mesh and data fabric approaches, delivering scalable and sustainable data capabilities.
• Proven ability to lead large, complex transformation programmes, working with senior stakeholders and multidisciplinary teams to deliver measurable business outcomes.
• Deep understanding of insurance data and regulatory requirements, including Solvency II, IFRS 17 and data management best practices, with a focus on governance, reporting and data quality.
• Experience delivering data and analytics solutions across insurance domains, including actuarial, finance and reporting functions, supporting process improvement and platform modernisation.
• Ability to apply AI, automation and advanced analytics within regulated environments, communicate complex concepts clearly to senior stakeholders, and contribute to business growth through client relationship building and proposition development.

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

June 25, 2026