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- Tasks: Lead agile projects and manage data delivery in the insurance sector.
- Company: Join a forward-thinking insurer focused on innovative data solutions.
- Benefits: Enjoy remote work, a competitive salary, bonuses, and private medical insurance.
- Other info: Work remotely with one paid day in London each month.
- Why this job: Make a real impact in a dynamic team while shaping the future of insurance data.
- Qualifications: 5-10 years in data PM/BA roles with strong insurance knowledge and SQL skills.
The predicted salary is between 48000 - 56000 £ per year.
Project Manager / Data Business Analyst – Insurance Data | UK Remote | Circa £80k + Bonus + Benefits
Are you passionate about data, agile delivery, and making a real impact in the insurance space? We\’re working with a forward-thinking general insurer operating an almost fully delegated model, and they’re looking for a Project Manager / Data Business Analyst to join their growing data team.
Location: UK Remote (with one paid day per month in London)
Salary: Circa £80,000 (flexible DOE)
Package Includes:
- 10% annual bonus
- Profit share scheme
- 10% pension contribution
- Private Medical Insurance (PMI)
- And more…
The Role
This is a hybrid role combining project management and business analysis, focused on delivering high-quality data products across the delegated insurance model. You’ll work closely with MGAs, TPAs, and internal stakeholders (CUO, CAO, CFO, Compliance) to ensure data is collected, transformed, and delivered accurately and consistently.
You’ll be the bridge between business and engineering — managing backlogs, refining requirements, and helping shape the data journey from ingestion to insight.
What You’ll Be Doing
- Lead agile delivery across a small data engineering team
- Translate business requirements into technical deliverables
- Manage stakeholder relationships and data contracts with MGAs
- Oversee backlog prioritisation, sprint planning, and risk management
- Ensure data quality and consistency across Snowflake-based platforms
- Collaborate with a sister data team in France
What We’re Looking For
- 5–10 years’ experience in data-focused PM/BA roles (flexible)
- Strong understanding of insurance data models
- Experience with SQL
- Snowflake knowledge desirable
- Agile/Scrum/Kanban delivery experience
- Excellent stakeholder management and communication skills
- Experience with delegated authority models and bordereaux management (desirable)
The Team
You’ll report into the COO and work alongside three data engineers, with occasional collaboration with global data team.
Ready to make an impact in a data-driven insurance environment?
Apply now or reach out for a confidential chat.
Project Manager / Data Business Analyst employer: Gravitas Recruitment Group (Global) Ltd
Contact Detail:
Gravitas Recruitment Group (Global) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Project Manager / Data Business Analyst
✨Tip Number 1
Familiarise yourself with the specific data models used in the insurance industry. Understanding how these models work will help you communicate effectively with stakeholders and demonstrate your expertise during discussions.
✨Tip Number 2
Brush up on your SQL skills, as this role requires a strong understanding of data manipulation. Consider working on sample projects or datasets to showcase your ability to extract and analyse data efficiently.
✨Tip Number 3
Network with professionals in the insurance and data sectors. Attend relevant webinars or local meetups to connect with potential colleagues and learn more about the latest trends and challenges in the industry.
✨Tip Number 4
Prepare to discuss your experience with agile methodologies, particularly in managing backlogs and sprint planning. Be ready to share specific examples of how you've successfully led teams in delivering data projects.
We think you need these skills to ace Project Manager / Data Business Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Project Manager / Data Business Analyst position. Familiarise yourself with key terms like agile delivery, data quality, and stakeholder management.
Tailor Your CV: Customise your CV to highlight relevant experience in project management and data analysis. Emphasise your understanding of insurance data models and any experience you have with SQL or Snowflake.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and agile delivery. Mention specific examples from your past roles that demonstrate your ability to manage stakeholder relationships and deliver high-quality data products.
Highlight Relevant Skills: In your application, be sure to highlight your experience with agile methodologies, stakeholder management, and any familiarity with delegated authority models. This will help you stand out as a strong candidate for the role.
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Understand the Role
Make sure you have a clear understanding of the Project Manager / Data Business Analyst role. Familiarise yourself with the responsibilities, especially around agile delivery and stakeholder management, as these will likely be key discussion points during the interview.
✨Showcase Your Experience
Prepare to discuss your previous experience in data-focused PM/BA roles. Highlight specific projects where you've successfully managed data delivery, particularly in the insurance sector, and be ready to explain how your skills align with the job requirements.
✨Demonstrate Technical Knowledge
Brush up on your SQL and Snowflake knowledge, as these are desirable skills for the position. Be prepared to answer technical questions or even solve problems related to data management and analysis during the interview.
✨Prepare Questions
Have insightful questions ready for your interviewers. This could include inquiries about the company's data strategy, team dynamics, or how they measure success in this role. It shows your genuine interest and helps you assess if the company is the right fit for you.