At a Glance
- Tasks: Lead strategic data projects and coordinate delivery across multiple teams.
- Company: Dynamic company in the fast-paced digital sector.
- Benefits: Competitive daily rate, flexible work environment, and long-term contract until 2027.
- Other info: Opportunity to enhance your skills in a collaborative and evolving environment.
- Why this job: Make a real impact on innovative data initiatives while working with top tech teams.
- 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, Monday. com, Microsoft Project or similar.
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Data Delivery Manager employer: Harnham
As a leading specialist data consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Analytics Engineering Consultants to thrive. With a focus on professional development, we offer extensive growth opportunities and the chance to work on high-impact projects across diverse industries, all while enjoying the flexibility of remote work in the UK. Join us to be part of a team that values your expertise and encourages you to influence strategy and drive meaningful change for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Data Delivery Manager
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Harnham before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
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✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Harnham.
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, 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, 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’s attention and show the tangible impact of your work.
How to prepare for a job interview at Harnham
✨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.
✨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.
✨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.
