At a Glance
- Tasks: Lead data initiatives, connect teams, and ensure impactful delivery in a fast-paced environment.
- Company: Join Ageas, a forward-thinking company transforming data usage for better decisions.
- Benefits: Enjoy flexible working, 35 days holiday, health perks, and tech discounts.
- Other info: Inclusive workplace with strong support for wellbeing and career growth.
- Why this job: Make a real difference by driving data transformation and influencing key stakeholders.
- Qualifications: Experience in data environments and exceptional stakeholder management skills required.
The predicted salary is between 50000 - 65000 £ per year.
Target Start Date: ASAP
Contract Type: Permanent, Part Time, Full Time, Job Share option available
Salary Range: Competitive
Location: Reigate – Hybrid working environment
Closing Date for applications: Friday 3rd July
Job Overview: At Ageas, we’re on an exciting journey to transform how we use data to drive better decisions, improve customer outcomes, and power our business forward. As a Data Delivery Manager, you’ll sit at the heart of this transformation—connecting multiple teams, stakeholders, and priorities to ensure data initiatives are delivered at pace and with impact. Success in the role is about influence, organisation, and staying two steps ahead. You’ll build relationships, manage competing demands, and keep delivery on track in a fast‑paced environment, making a real difference.
Responsibilities:
- Drive delivery by planning and coordinating resources and activities across squads.
- Own identification, reporting, and mitigation of risks, issues and dependencies that could impact delivery.
- Partner with Product Owners to plan, track, and deliver data initiatives.
- Manage stakeholders across teams, ensuring alignment, prioritisation, and progress.
- Represent Data in wider delivery forums, keeping visibility high and accurate.
Skills and Experience:
- Exceptional stakeholder management – confident working with senior leaders and multiple teams.
- Strong delivery mindset – organised, proactive, and always planning ahead.
- Experience delivering within data environments (pipelines, MI, analytics – not general IT).
- Ability to manage competing priorities, dependencies, and high‑paced delivery.
- Clear, confident communicator who can influence, challenge, and drive progress.
Benefits:
- Flexible Working – Smart Working within the UK, part‑time and job‑share available.
- 35 days holiday (including bank holidays) with the option to buy and sell days.
- Health benefits – dental insurance, health cash plan, health screening, will writing, voluntary critical illness, mental health first aiders, wellbeing activities.
- Wealth benefits – 50% off insurance, annual bonus schemes, salary reviews, competitive pension, savings and loans.
- Supporting you at work – wellbeing activities, mindfulness sessions, sports and social club events.
- Family benefits – maternity/paternity support up to full pay, partner life assurance, critical illness cover.
- Technology deals – discounts on gadgets including wearables, tablets, and laptops.
- Transport – car salary exchange, cycle scheme, vehicle breakdown cover.
Equal Opportunities: Ageas is an inclusive employer, a signatory of the Race at Work Charter and Women in Finance Charter, and a member of iCAN and GAIN. We are a Disability Confident Leader and guarantee an interview for applicants with a disability who meet the minimum criteria. We have a zero‑tolerance approach towards harassment and treat everyone with respect and professionalism.
Data Delivery Manager in Reigate employer: Ageas UK
At Ageas, we pride ourselves on being an exceptional employer, offering a dynamic hybrid working environment in Reigate that fosters collaboration and innovation. Our commitment to employee wellbeing is reflected in our generous benefits package, including 35 days of holiday, flexible working options, and comprehensive health and wealth benefits. We prioritise personal and professional growth, ensuring that our Data Delivery Managers have the resources and support needed to thrive in their roles while making a meaningful impact on our data transformation journey.
StudySmarter Expert Advice🤫
We think this is how you could land Data Delivery Manager in Reigate
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We think you need these skills to ace Data Delivery Manager in Reigate
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Ageas UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ageas UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ageas UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ageas UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
