Line of Service
Assurance
Industry/Sector
Insurance
Specialism
Risk
Management Level
Senior Manager
Job Description & Summary
About the role: As an Insurance Data Senior Manager in our Financial Services Technology, Data & Analytics team, you will support our insurance clients in responding to a rapidly evolving regulatory and market landscape. Whether meeting Solvency II, IFRS 17 and ESG reporting requirements, or implementing AI and digital capabilities to improve operational practices, you will work side‑by‑side with clients to elevate their data maturity and resilience. We help insurers strengthen governance and enable transformation across both front and back office functions, from underwriting and pricing to finance, actuarial, and claims. Our mission is to help clients unlock value through smarter data practices, supported by leading technology and a deep understanding of the insurance sector.
Key Responsibilities:
* Data Strategy: Lead the development of enterprise‑wide data strategies and operating models, embedding sustainable data management & AI practices and aligning to sector‑specific regulatory and operational requirements.
* Data Governance: Advise clients on improving data quality, lineage, and controls, helping to address regulatory gaps, strengthen internal oversight, and enable greater confidence in reporting and analytics.
* Transformation: Support front and back office transformation initiatives through improved data architecture—enhancing pricing, claims automation, regulatory reporting, customer insights, and risk management. Lead delivery teams on complex change programmes; from solution design artifacts to managing onshore and offshore technical delivery teams.
* AI: Leverage AI and automation to enhance the scalability and performance of data management and implementation activities, including data discovery, data quality monitoring, and policy enforcement.
* Business Development: Collaborate across PwC and with clients to deliver real, sustained outcomes across the full data lifecycle—from assessment and design through to implementation and optimisation.
* Stakeholder Management: Bring clarity and direction to senior stakeholders, articulating regulatory expectations and transformation roadmaps in a business‑relevant and technically sound manner.
* Client Relationships: Build long‑term client relationships, actively identifying new opportunities across risk, finance, operations, data, and technology domains.
Skills and Experience:
* Responsible for enabling clients to modernise and future‑proof their data capabilities, including the design of strategic operating models and the deployment of fit‑for‑purpose tools and platforms.
* You will bring knowledge in navigating the complexity of data in the insurance industry, shaped by regulatory scrutiny, evolving customer expectations, and legacy operating models.
* An understanding of regulatory drivers such as Solvency II and IFRS 17, combined with data management frameworks like DAMA, will allow you to help insurers improve their data maturity, governance and reporting practices.
* Experience in consulting or advisory within Insurance, ideally with a blend of client delivery and business development responsibility.
* Knowledge of Insurance Markets and trends are preferred.
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:
(blank)
Degrees/Field of Study preferred:
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Certifications
(if blank, certifications not specified)
Required Skills
(none specified)
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
* {+ 46 more}
Desired Languages
(if blank, desired languages not specified)
Travel Requirements
Up to 60%
Available for Work Visa Sponsorship?
Yes
Government Clearance Required?
No
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