At a Glance
- Tasks: Manage large-scale data programmes and oversee multi-project portfolios in the insurance sector.
- Company: Global recruitment specialist with a focus on innovative data solutions.
- Benefits: Competitive pay rate, flexible working days, and opportunities for professional growth.
- Other info: Shortlisting within 48 hours for interested candidates.
- Why this job: Lead impactful data initiatives and collaborate with diverse teams in a dynamic environment.
- Qualifications: 10+ years in programme management, strong insurance domain knowledge, and expertise in data platforms.
The predicted salary is between 100000 - 120000 £ per year.
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Location: London
Duration: 31/12/2026
Days on site: 2-3
Pay-rate: £458 per day (PAYE through Umbrella)
Role Description
Data Management Specialist – Insurance
Not a practitioner, someone who can outline the approach, work, artefacts for data management across the entire insurance value chain of Insurance - critically define personas, define data management practices - including product master, cataloguing, data quality.
Key Responsibilities
- Manage large-scale data programmes (Data Lake, Data Warehouse, Analytics, AI/ML) aligned to insurance business objectives.
- Oversee delivery of multi-project portfolios across policy, claims, underwriting, and customer data domains.
- Collaborate with business and IT stakeholders to translate insurance requirements into data solutions.
- Drive data governance, quality, and compliance (e.g., IRDAI, Solvency II, GDPR).
- Manage programme budgets, timelines, risks, and dependencies.
- Ensure integration of core insurance platforms (Guidewire, Duck Creek, etc.) with data and analytics ecosystems.
- Lead cross-functional teams including data engineers, architects, and analysts.
Required Skills & Experience
- 10+ years of programme/project management experience with a strong focus on data initiatives.
- Proven experience in the insurance domain (policy, claims, underwriting).
- Strong knowledge of cloud data platforms, ETL/ELT, and analytics tools (Power BI, Tableau).
- Experience with Agile/SAFe delivery models.
Key Competencies
- Stakeholder management & leadership
- Strategic execution and delivery focus
- Risk and financial management
- Strong communication and problem-solving
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often shortlisted within 48 hours.
Data Management Specialist in Slough employer: eTeam
As a leading Global Recruitment specialist, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Located in the vibrant city of London, our Data Management Specialist role offers competitive pay and the opportunity to work on large-scale data programmes within the insurance sector, ensuring you are at the forefront of innovative data solutions. Join us to collaborate with talented professionals and make a meaningful impact in the industry while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Management Specialist in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data management sectors. Attend industry events or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your past projects, especially those related to data management in insurance. This will give you an edge when discussing your experience with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on key concepts in data governance and analytics tools. Be ready to discuss how you've managed large-scale data programmes and collaborated with cross-functional teams.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team.
We think you need these skills to ace Data Management Specialist in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Management Specialist. Highlight your experience in managing data programmes and your knowledge of the insurance domain. We want to see how your skills align with what we're looking for!
Showcase Relevant Experience:When detailing your work history, focus on your 10+ years of programme/project management experience. Be specific about your involvement with data initiatives and any tools you've used, like Power BI or Tableau. This helps us see your fit for the role.
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. Remember, clarity is key in showcasing your communication skills!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your CV and ensures you’re considered quickly. Plus, we often shortlist candidates within 48 hours, so don’t wait too long!
How to prepare for a job interview at eTeam
✨Know Your Data Inside Out
As a Data Management Specialist, you need to be well-versed in data management practices. Brush up on your knowledge of data lakes, warehouses, and analytics tools like Power BI and Tableau. Be ready to discuss how you've managed large-scale data programmes in the past.
✨Showcase Your Insurance Expertise
Make sure to highlight your experience in the insurance domain, especially around policy, claims, and underwriting. Prepare examples of how you've translated insurance requirements into effective data solutions, as this will demonstrate your understanding of the industry.
✨Communicate Clearly and Confidently
Strong communication is key for this role. Practice articulating complex data concepts in simple terms. Be prepared to explain how you've led cross-functional teams and managed stakeholder expectations in previous projects.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and strategic execution. Think of scenarios where you've had to manage risks or budgets in data initiatives. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
