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For Companies At a Glance
- Tasks: Lead data strategy, manage SQL platforms, and deliver actionable insights using Power BI and AI.
- Company: Join a rapidly growing insurance broking group with a strong market presence.
- Benefits: Enjoy competitive salary, hybrid working, generous holidays, and a company pension scheme.
- Why this job: Make a real impact by driving data excellence in a dynamic and supportive environment.
- Qualifications: Experience in SQL, Power BI, and team leadership; degree in a quantitative field preferred.
- Other info: Opportunity for career growth and continuous learning in a collaborative culture.
The predicted salary is between 36000 - 60000 £ per year.
Location: Home based / Remote
Department: JMG Group
Job Type: Full time
Contract Type: Permanent
JMG Group is a Private Equity backed insurance broking group based in Guiseley, West Yorkshire with strong regional office representation around the UK. We are a top 30 broker, growing rapidly having completed numerous acquisitions since our MBO in 2020. We place over £350m+ of Gross Written Premium into the market annually and our teams are very well respected in the market. Customer excellence is the backbone of our business, which means that our people, systems, and processes are central to our success.
The Role: We are accelerating our data strategy to support sustained organic and acquisitive growth. As Data Manager, you will own the groups data platform, governance, and analytics enablement ensuring reliable, secure, and timely management information (MI) and unlocking value with SQL, Power BI, and applied AI. The role blends hands on technical leadership with stakeholder engagement across the Group.
Our environment: You will work closely with colleagues across the IT team and wider Group functions; the role is hands on and outcomes-focused, supporting leadership with consistent, actionable insights as we scale.
Key Responsibilities:
- Data platform ownership: Lead the design, operation, and evolution of our SQL Server data warehouse. Establish best practice standards for schema design and performance tuning in SQL Server/SSMS.
- ETL/ELT & integration: Define and manage pipelines (e.g., SSIS & Power Query) that consolidate sources including core broking systems (e.g., Acturis) and newly acquired businesses; deliver prompt, accurate, and comprehensive integration into group reporting.
- Power BI enablement: Own datasets, semantic models, DAX development, row-level security, gateway/configuration, and performance. Partner with BI Developers/Analysts to deliver automated, actionable dashboards for leadership and frontline teams.
- AI for analytics: Introduce and steward responsible AI use to enrich insights and automate MI.
- Data governance: Implement policies and controls for data quality, develop and maintain step-by-step documentation of key weekly and monthly processes, embed validation and exception reporting so errors are identified and resolved promptly.
- Stakeholder management: Build strong relationships across group, including Finance, Compliance, Operations, Insurer Relations and business units; translate requirements into robust data solutions and ensure MI is understood and used.
- Team leadership: Mentor, develop and utilise a small team (BI Developers/Analysts) to deliver data strategy.
- Acquisition reviews: Identify potential synergies.
- Roadmap & delivery: Maintain a roadmap covering platform improvements, AI use-cases, new acquisitions integration, and reporting simplification; track benefits and adoption.
Key Skills Required:
- Advanced SQL: stored procedures, views, window functions, temp tables, CTEs, query optimisation; confident with advanced SSMS query writing.
- Significant experience delivering Power BI models and dashboards (DAX, Power Query, RLS, performance).
- Advanced Excel: advanced formulas, Pivot tables, Power Pivot.
- ETL/ELT tooling (SSIS/Power Query) and dimensional modelling (Star Schema).
- Practical AI/ML exposure (e.g., Python notebooks, Azure ML, or equivalent) and the ability to operationalise models responsibly within reporting workflows.
- Proven track record integrating disparate systems post-acquisition and delivering reliable and consistent group MI.
- Excellent communication at all levels across the business from entry level to director.
- Stakeholder engagement, and the ability to translate complex data into clear business actions.
- Team management experience: Confident in leading, managing and developing a small team of analysts.
Nice To Have Skills:
- Experience with Acturis data extraction and automation of broking MI.
- Microsoft Fabric/Azure experience.
- Implementation, management and usage of API pipelines for reporting.
- Experience of working in the insurance industry.
- SSIS administration; Power BI governance at tenant level.
- Project management experience.
Qualifications:
- Degree in a quantitative field (or equivalent experience).
- Microsoft certifications (DP-203, PL-300) advantageous.
- Evidence of continuous learning in data engineering, BI, and AI.
What We Offer:
- Competitive salary commensurate with level of experience.
- Hybrid working options considered following training & probation completion.
- Free parking.
- Company Pension scheme.
- Generous holiday entitlement & Birthday off.
- Death in service scheme.
Group Data Manager in Leeds employer: Tony Charters and Associates
Contact Detail:
Tony Charters and Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Group Data Manager in Leeds
✨Tip Number 1
Network like a pro! Reach out to current employees at JMG Group on LinkedIn. Ask them about their experiences and any tips they might have for landing the Group Data Manager role. Personal connections can give you an edge!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Power BI skills. Be ready to showcase your knowledge with practical examples. We want to see how you can turn data into actionable insights, so think of scenarios where you've done this before.
✨Tip Number 3
Showcase your leadership skills! If you’ve mentored or led a team before, share those experiences during your interview. JMG Group values team management, so let’s highlight how you can develop and utilise a small team effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the JMG Group family. Let’s get you that interview!
We think you need these skills to ace Group Data Manager in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Group Data Manager role. Highlight your SQL, Power BI, and data governance expertise to show us you’re the perfect fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data management and how your previous experiences align with our goals. This is your chance to showcase your personality and enthusiasm!
Showcase Your Achievements: Don’t just list your responsibilities; share specific achievements that demonstrate your impact in previous roles. We love to see how you’ve used data to drive results and improve processes.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates!
How to prepare for a job interview at Tony Charters and Associates
✨Know Your Data Inside Out
As a Group Data Manager, you'll need to demonstrate your expertise in SQL and Power BI. Brush up on advanced SQL techniques, such as stored procedures and query optimisation, and be ready to discuss how you've used these skills in past roles.
✨Showcase Your Stakeholder Engagement Skills
This role requires strong communication across various levels of the business. Prepare examples of how you've successfully translated complex data into actionable insights for different stakeholders, ensuring they understand the value of your work.
✨Be Ready to Discuss AI Applications
With a focus on responsible AI use, think about how you've integrated AI into your data processes. Be prepared to share specific instances where you've operationalised AI models within reporting workflows and the impact it had on decision-making.
✨Demonstrate Team Leadership Experience
You'll be leading a small team of analysts, so come equipped with examples of how you've mentored and developed team members in the past. Highlight your approach to fostering a collaborative environment that drives results.
