Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Delivery Manager

Datatech Analytics
Southampton
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Science & Analytics Manager

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist...

Senior Data Scientist

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.