At a Glance
- Tasks: Lead a legacy data decommissioning project from start to finish using Agile methods.
- Company: Established UK organisation with a focus on transformation and innovation.
- Benefits: £595/day, hybrid working, and potential for contract extension.
- Other info: Fast interview process with a dynamic, outcome-driven environment.
- Why this job: Make a tangible impact on a significant project and enhance your CV.
- Qualifications: Proven Agile delivery experience and strong stakeholder communication skills.
A large, well-established UK organisation is decommissioning a significant legacy data estate as part of a wider platform transformation. They need a Data Delivery Lead to own this workstream end to end, managing delivery, suppliers, and stakeholders through to completion. This isn’t a support role. You’ll be accountable for the delivery of a defined project with real budget behind it, working directly with data architects and reporting into a senior delivery lead. If you want a contract where you can point to a clean, ownable outcome on your CV, this is that role.
The Role
- Own end-to-end delivery of a legacy decommissioning project, using Agile methods within an established governance framework
- Manage a small cross-functional team across technology, business, and supplier resources, including offshore delivery teams
- Hold suppliers to account against contracted deliverables, timelines, and quality bar
- Manage project financials and resourcing against a multi-million-pound budget, escalating deviations early
- Facilitate stakeholder sign-off with data architects and release management
- Provide clear, senior-stakeholder-visible progress reporting and manage risk proactively
- Coordinate communications across a mixed technical and business stakeholder group
What We’re Looking For
- Proven Agile delivery experience, non-negotiable
- Hands-on use of Jira and Azure DevOps
- Strong stakeholder communication skills, comfortable operating with senior visibility
- Experience managing supplier and offshore delivery resources
- Cloud platform exposure (GCP, Azure, or AWS)
Nice to Have
- Exposure to AI-assisted or agentic SDLC tools (e.g. GitHub Copilot)
- A recognised delivery methodology background (Prince2, SAFe, Scrum of Scrums)
What’s On Offer
- £595 per day (Umbrella/Inside IR35)
- Initial contract with strong signals of extension
- Hybrid working, London based, genuinely outcome-driven rather than rigid on days in office
- Single-stage interview process, no lengthy multi-round loop
If you want a contract with real scope, a fast process, and an outcome you can genuinely own, get in touch.
Data Delivery Lead in City of London employer: TRIA
Join a large, well-established UK organisation that values innovation and accountability in its projects. As a Data Delivery Lead, you'll benefit from a hybrid working model in London, allowing for flexibility while being part of a dynamic team focused on meaningful outcomes. With a strong emphasis on employee growth and a streamlined interview process, this role offers an excellent opportunity to enhance your career while delivering impactful results.
StudySmarter Expert Advice🤫
We think this is how you could land Data Delivery Lead in City of London
✨Showcase Your Skills with a Public Portfolio
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Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
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We think you need these skills to ace Data Delivery Lead in City of London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Delivery Lead at TRIA, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at TRIA.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at TRIA
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!