At a Glance
- Tasks: Lead strategic data projects and coordinate delivery across multiple teams.
- Company: Dynamic company in the media and e-commerce sector.
- Benefits: Competitive daily rate, flexible work environment, and long-term contract.
- Other info: Opportunity to work with modern data platforms and grow your career.
- Why this job: Make a real impact on complex data initiatives in a fast-paced setting.
- Qualifications: Strong experience in data project management and Agile methodologies.
The predicted salary is between 54000 - 66000 £ per year.
£450-£500 per day
Inside IR35
London - 2/3 days per week
Contract until end of March 2027
The role will work across Data Product Management, Data Engineering, Analytics Engineering, Data Platform and Data Governance teams, alongside wider Technology and business stakeholders.
This is an end-to-end delivery role, responsible for bringing structure, pace and predictability to complex data initiatives.
You won't need to be technically hands-on, but you should have a good understanding of modern data/cloud environments and be comfortable working closely with technical teams.
Responsibilities
- Lead strategic data projects from initial scoping and planning through to implementation and handover.
- Coordinate delivery across Data Engineering, Analytics Engineering, Data Platform, Product and business teams.
- Own project plans, milestones, resources, budgets, RAID and cross-team dependencies.
- Establish and manage appropriate project governance and Agile delivery ceremonies.
- Track delivery against scope, timelines, budgets and agreed outcomes.
- Provide clear reporting and updates to senior stakeholders.
- Manage resource requirements, risks, blockers and delivery dependencies.
- Coordinate third-party suppliers and delivery partners where required.
- Support continuous improvement of delivery processes and ways of working.
Experience Required
- Strong experience as a Data Delivery Manager, Data Project Manager, Data Programme Manager or similar.
- Proven delivery experience within Data & Analytics or a closely related technical environment.
- Experience working with Data Engineering, Data Platform, Analytics and/or Data Product teams.
- Experience within media, publishing, subscription, e-commerce or another fast-paced digital/consumer environment
- Strong Agile experience across Scrum and/or Kanban.
- Strong project planning, RAID, governance and dependency management.
- Experience managing budgets, resources and multiple workstreams.
- Excellent stakeholder management across technical and business teams.
- Familiarity with modern data platforms and cloud technologies such as Azure, AWS or GCP.
- Experience with Jira, Asana, Microsoft Project or similar.
- #J-18808-Ljbffr
Data Delivery Manager employer: Harnham - Data & Analytics Recruitment
Join a forward-thinking SaaS organisation in London, where you'll not only lead the Data Engineering function but also play a pivotal role in shaping the future of AI and data solutions. With a strong emphasis on innovation, employee development, and a collaborative work culture, this company offers clear progression opportunities and the chance to work on impactful projects that drive commercial success. Enjoy a supportive environment that values your expertise while you tackle exciting technical challenges and contribute to the growth of a rapidly expanding business.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Delivery Manager
✨Tap into Online Data Science Communities
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We think you need these skills to ace Data Delivery Manager
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Harnham - Data & Analytics Recruitment, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Harnham - Data & Analytics Recruitment, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Harnham - Data & Analytics Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Harnham - Data & Analytics Recruitment.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Harnham - Data & Analytics Recruitment.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Harnham - Data & Analytics Recruitment.
