Harnham
Data Delivery Manager

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DATA DELIVERY MANAGER
LONDON
HYBRID (2 TO 3 DAYS ONSITE)
INSIDE IR35
£400 TO £500 PER DAY
The Company
They are a leading digital media and publishing organisation with a strong focus on innovation, data-driven decision making and technology transformation. Investing heavily in their Data and AI capabilities, they are delivering strategic initiatives that improve audience insight, operational efficiency and business performance. You will join a collaborative environment where data, technology and product teams work together to deliver meaningful change.
The Role and Deliverables
- Lead the end-to-end delivery of strategic data and AI programmes.
- Establish and improve governance, delivery processes and reporting frameworks.
- Coordinate cross-functional teams across Data Engineering, Analytics Engineering, Data Platform and Product.
- Manage project plans, budgets, risks, dependencies and delivery milestones.
- Support data warehousing, demographic data and vendor onboarding initiatives.
- Drive AI-focused projects including conversational analytics, semantic modelling and enterprise AI adoption.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Your Skills & Experience
- Strong experience delivering complex data, analytics or technology transformation programmes.
- Proven stakeholder management experience across technical and non-technical teams.
- Experience working within Agile, Scrum, Kanban or hybrid delivery environments.
- Strong understanding of project governance, risk management and delivery assurance.
- Experience delivering projects involving data engineering, analytics platforms or data warehousing.
- Exposure to AI, machine learning or enterprise AI initiatives is advantageous.
- Vendor and supplier management experience.
- Experience within media, publishing, digital content, subscription-based businesses or similar consumer-focused organisations is highly desirable.
- Familiarity with Jira, Asana, Microsoft Project and modern data platforms is beneficial.


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Desired Skills and Experience
- Data Delivery Manager
- Data Project Delivery
- AI Programmes
- Data Governance
- Data Engineering
- Analytics Engineering
- Data Platform
- Data Warehousing
- Data Transformation
- Agile
- Scrum
- Kanban
- Hybrid Delivery
- Project Management
- Stakeholder Management
- Cross-Functional Leadership
- Project Governance
- RAID Logs
- Budget Management
- Risk Management
- Resource Management
- Change Management
- Vendor Management
- Conversational Analytics
- Semantic Modelling
- Enterprise AI
- AI Adoption
- Machine Learning
- Modern Data Stack
- Cloud Technologies
- Jira
- Asana
- Microsoft Project
- Data Strategy
- Product Management
- Delivery Assurance
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