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- Tasks: Lead data transformation programmes and design modern data architectures for insurance clients.
- Company: Join a leading financial services technology team focused on innovation.
- Benefits: Flexible working, private medical cover, and generous volunteering days.
- Why this job: Make a real impact in the insurance sector with cutting-edge data solutions.
- Qualifications: Extensive experience in data transformation and strong leadership skills.
- Other info: Dynamic role with opportunities for professional growth and client engagement.
The predicted salary is between 36000 - 60000 ÂŁ per year.
As an Insurance Data Senior Manager in our Financial Services Technology, Data & Resilience team, you will support our insurance clients in responding to a rapidly evolving regulatory and market landscape. Whether meeting Solvency II, IFRS 17 or regulatory reporting requirements, or delivering large-scale, technology-enabled transformation such as AI and digital capabilities, you will work side‑by‑side with clients to elevate their data practices and resilience.
We help insurers across GI, Life & Pensions, and the London Market supporting programmes that modernise data platforms, operating models, and analytical capabilities. Our work spans the full insurance value chain covering underwriting, pricing, claims, finance, actuarial and risk. We aim to 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.
You will act as a trusted advisor to senior stakeholders, combining deep insurance domain knowledge with strong data transformation and delivery leadership.
What your days will look like
- Data Transformation & Architecture: Lead the design and delivery of enterprise data transformation programmes and design modern data architectures, including cloud native platforms, data mesh and data fabric patterns, ensuring solutions are fit for insurance use cases.
- Solution Design and Delivery: Lead the development and implementation of data and analytics solutions across insurance functions, such as actuarial modelling and analytics platforms. IFRS 17 and finance data solutions, including sub‑ledgers integrations and workflow and automation solutions using low‑code / no‑code technologies.
- Programme and Engagement Leadership: Lead multidisciplinary teams large‑scale transformation programmes or a portfolio of smaller engagements, taking accountability for delivery, commercials, risk and stakeholder management.
- Business Development & Proposition Development: Contribute to business development activities, supporting our go‑to‑market by playing an active role in developing and evolving data transformation propositions for the insurance market. You will build strong client relationships, identify opportunities to extend and deepen engagements across data, technology, finance and operations.
- Data Strategy and Governance: Lead the development of enterprise‑wide data strategies and operating models, embedding sustainable data management and AI practices aligned to sector‑specific regulatory and operational requirements. You will advise clients on improving data quality, lineage and controls to address regulatory gaps, strengthen oversight and increase confidence in reporting and analytics.
- AI & Advanced Analytics: Embed AI and advanced analytics capabilities within broader data transformation programmes, including data readiness for AI, automation of data processes, and use of AI‑enabled tooling.
The role is for you if
- 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 with 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 and data management frameworks such as DAMA, to support improvements in governance, maturity and reporting.
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.
Insurance Data Transformation - Senior Manager employer: PwC
Contact Detail:
PwC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insurance Data Transformation - Senior Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance sector and let them know you're on the lookout for opportunities. A friendly chat can lead to insider info about openings that aren't even advertised yet.
✨Tip Number 2
Showcase your expertise! When you get the chance to meet potential employers, whether at events or through mutual contacts, be ready to discuss your experience with data transformation in insurance. Share specific examples of how you've tackled challenges in the past.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After meeting someone or having an interview, drop them a quick message to thank them for their time and reiterate your interest. It keeps you fresh in their minds and shows your enthusiasm.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting roles waiting for you, and applying directly gives you a better shot at standing out. Plus, it shows you’re genuinely interested in being part of our team!
We think you need these skills to ace Insurance Data Transformation - Senior Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Insurance Data Senior Manager. Highlight your experience in data transformation and your understanding of the insurance sector. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data transformation in the insurance industry. Share specific examples of your past successes and how they relate to the responsibilities outlined in the job description.
Showcase Your Leadership Skills: Since this role involves leading multidisciplinary teams, make sure to highlight your leadership experience. We want to know how you've managed projects and engaged with senior stakeholders in the past. Don’t hold back on those achievements!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us during the hiring process!
How to prepare for a job interview at PwC
✨Know Your Insurance Data Inside Out
Make sure you brush up on your knowledge of insurance data transformation, especially around regulatory frameworks like Solvency II and IFRS 17. Be ready to discuss how these regulations impact data practices and what innovative solutions you've implemented in the past.
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to demonstrate your ability to lead multidisciplinary teams. Prepare examples of how you've successfully managed large-scale transformation programmes, focusing on stakeholder management and delivery accountability.
✨Be Ready to Discuss Technology Solutions
Familiarise yourself with modern data architectures, including cloud-native platforms and data mesh concepts. Be prepared to talk about specific technologies you've used in previous roles and how they can be applied to enhance data practices in the insurance sector.
✨Engage with Business Development Insights
Understand the business development aspect of the role. Think about how you've contributed to go-to-market strategies or developed propositions in the past. Be ready to share ideas on how to deepen client engagements and identify new opportunities within the insurance market.
