At a Glance
- Tasks: Lead the delivery of high-value data products and AI capabilities in a dynamic environment.
- Company: Join a forward-thinking tech company with a focus on innovation and collaboration.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a vibrant team with excellent career advancement opportunities.
- Why this job: Make a real impact by shaping data-driven projects that drive business success.
- Qualifications: Experience in data delivery planning and strong communication skills are essential.
The predicted salary is between 60000 - 75000 £ per year.
As the Data Delivery Manager you will enable the effective delivery of high-value data products, analytics and AI capabilities across the Data and AI function. Embedded within Data and AI, the role provides delivery leadership that turns complex data-led work into clear, achievable outcomes across Data Science, Machine Learning, Analytics and Analytics Engineering. The role shapes how work is planned, coordinated and executed to improve clarity, pace and impact. Accountable for helping teams focus on the highest-value problems, it aligns priorities and technical dependencies to ensure data and AI initiatives deliver tangible business and customer outcomes.
Responsibilities
- Data Product and Operations Planning & Delivery Oversight
- Own planning, prioritisation, and sequencing across the Data & AI team.
- Apply a deep understanding of data work, skills, and technical dependencies to shape realistic delivery plans and roadmaps.
- Support senior decision-making by clearly articulating options, trade-offs, and delivery implications.
- Delivery Insight & Execution Support
- Stay close to delivery to identify risks, dependencies, and opportunities early.
- Challenge and support teams on scope, sequencing, and approaches to solving delivery problems.
- Use delivery insight to improve focus, flow, and outcomes across teams.
- Measurement, Governance & Assurance
- Define and use delivery metrics to track progress, predictability, and outcomes across the portfolio.
- Ensure appropriate governance, transparency, and documentation of delivery decisions to meet audit and compliance expectations.
- Balance delivery pace with control, working pragmatically with risk and governance partners.
- Stakeholder & Data Leadership Partnership
- Act as a trusted delivery partner to Data & AI leaders and business stakeholders.
- Strengthen alignment across teams, reduce friction, and improve cross-functional delivery.
- Influence priorities and roadmaps through insight, credibility, and technical understanding of the work.
Qualifications
- Proven experience in delivery planning or coordination in a data-led environment.
- Strong understanding of data disciplines such as data science, ML, advanced analytics, and analytics engineering.
- Ability to understand and map technical dependencies across complex teams.
- Comfortable contributing to delivery discussions at both the detail and portfolio level.
- Skilled in working with cross-functional teams to shape, plan, and track delivery.
- Clear communicator, able to bring structure to complexity and support decision-making.
- Familiarity with agile practices, lean planning, or flow-based delivery.
- Experience improving planning practices or delivery coordination across multiple teams.
- Knowledge of delivery governance, performance metrics, or planning tools.
Data Delivery Manager in Peterborough employer: Compare the Market
As a Data Delivery Manager at our innovative Tech company, you will thrive in a dynamic hybrid work environment in London or Peterborough, where collaboration and creativity are at the forefront of our culture. We prioritise employee growth through continuous learning opportunities and a commitment to impactful projects that drive real business outcomes, making us an exceptional employer for those seeking meaningful and rewarding careers in data and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Data Delivery Manager in Peterborough
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We think you need these skills to ace Data Delivery Manager in Peterborough
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 Compare the Market, 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 Compare the Market. 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 Compare the Market
✨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!
✨Showcase Your Projects
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 Compare the Market!
✨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.
