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- Tasks: Lead transformative data projects for insurance clients, enhancing their data practices and resilience.
- Company: Join a leading firm in financial services technology with a focus on innovation.
- Benefits: Flexible working arrangements, private medical cover, and generous volunteering days.
- Other info: Dynamic role with opportunities for professional growth and development.
- Why this job: Make a real impact in the insurance sector by driving data transformation and AI integration.
- Qualifications: Extensive experience in data transformation within insurance and strong stakeholder management skills.
The predicted salary is between 80000 - 100000 £ per year.
About the role: 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 II and IFRS 17, 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 in Edinburgh employer: PricewaterhouseCoopers
Contact Detail:
PricewaterhouseCoopers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insurance Data Transformation - Senior Manager in Edinburgh
✨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. Attend industry events or webinars to meet potential employers and make a lasting impression.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio that highlights your previous projects related to data transformation and analytics in insurance. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses, especially around complex topics like IFRS 17 and data governance. The more comfortable you are discussing these subjects, the better you'll perform.
✨Tip Number 4
Apply through our website! We have a range of exciting roles that could be a perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates. Don't miss out!
We think you need these skills to ace Insurance Data Transformation - Senior Manager in Edinburgh
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Insurance Data Transformation role. Highlight your experience in data transformation and your understanding of the insurance sector to show us you’re the perfect fit!
Showcase Relevant Experience: When detailing your past roles, focus on your achievements in leading data transformation programmes and working with senior stakeholders. We want to see how you've made an impact in similar positions!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences quickly.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role without any hiccups.
How to prepare for a job interview at PricewaterhouseCoopers
✨Know Your Data Inside Out
Make sure you have a solid grasp of data transformation concepts, especially in the insurance sector. Brush up on regulatory frameworks like Solvency II and IFRS 17, as well as modern data architectures like cloud-native platforms and data mesh. Being able to discuss these topics confidently will show that you're not just familiar with the theory but can apply it practically.
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to demonstrate your ability to lead multidisciplinary teams. Prepare examples from your past experiences where you've successfully managed large-scale transformation programmes or engaged with senior stakeholders. Highlight your approach to risk management and how you ensure accountability in delivery.
✨Be Ready for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in previous roles related to data governance or analytics solutions. Be prepared to explain your thought process and the outcomes of your decisions, showcasing your analytical thinking and creativity.
✨Engage with Business Development Insights
Since business development is part of the role, be ready to discuss how you can contribute to developing data transformation propositions. Research the company’s current offerings and think about how you can enhance them. Showing that you understand the market landscape and can identify opportunities will set you apart.