Senior Data Delivery Manager

Datatech Analytics
Southampton
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Leidos

Data Science Lead / Manager

Senior Data Scientist

Senior Machine Learning Operations Engineer

Senior Data Scientist - AI Practice Team

Senior Data Scientist - AI Practice Team

Senior Data Delivery Manager

Hampshire / Surrey Boarder Hybrid (hybrid working 2 office days per week)Negotiable DOE £75,000 - £85,000Additional Benefits: Strong Bonus, Cash-Car AllowanceEmployment Type: Permanent, full time

Job Reference: J12924

Do you have a passion for data and a desire to make a real impact? Our client, a highly regarded brand with an impressive product portfolio, has made Data one of its top four strategic priorities. Their expanding team is transforming data infrastructure with a state-of-the-art cloud platform, unlocking the power of machine learning and GenAI. This is a unique opportunity to join them at a pivotal moment and contribute to meaningful change for customers, colleagues, and shareholders.

The RoleLead in the development of the Data Delivery framework, working closely with the PMO to implement robust governance and financial controls tailored to the organisation's needs.Coach your team of Data Delivery Managers in agile ways of workingPromote strong collaboration between your team, the broader Data team, the COO team, and key stakeholders.Prioritise your team's tasks according to business requirements, emphasising the delivery of high-impact capabilities with minimal effort and dependencies. Manage the backlog and maintain clear, transparent communication with stakeholders throughout the process.Understand your stakeholders and establish excellent relationships and communication forums to deliver project communications and updates

What you will needDemonstrated experience in line managing/coaching Delivery Managers or Project ManagersFamiliarity with various project delivery methodologies, such as Agile, Waterfall, Planned Iterative, etc.A solid understanding of key data domain areas, including data governance, architecture, modelling, engineering, delivery, quality, master data, and how data supports analytics, reporting, and business intelligenceInsurance/FS experience/regulatory industry experience preferableCapable of handling multiple tasks at onceSkilled at leading cross-functional teams to successfully complete projectsStrong negotiation, influencing, and networking skills

If this sounds like you then please apply!Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website:www.datatech.org.uk

TPBN1_UKTJ

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.