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

Apply Now

Data Programme Lead

Manchester
11 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Science

Engineering Program Manager, Machine Learning

Data Science Lead

Head of Data Science

Lead Subject Expert - Data Science (10+ years experience)

Data Scientist - Year in Industry Programme 2026

Job Title: Data Programme Lead
Location: Manchester
Terms: Permanent, Full Time
Work Arrangement: Hybrid
Salary: £100,000 to £110,000 + Benefits Package
Interview Process: 3 Stages

Role Overview:
In this key leadership role, you will drive growth and impact within the data and analytics domain, take charge of business development, oversee project delivery, and provide technical mentorship to strengthen market position and enhance service quality.

Key Responsibilities:

Drive sales, account management, and consulting with data leaders.
Grow and maintain data business across key accounts.
Support business development as a data specialist across clients and sectors.
Lead and motivate team for optimal performance and morale.
Manage project risks, budgets, and alignment with client expectations.
Promote company culture and core values daily.
Develop proposals, SOWs and support data practice growth.
Provide thought leadership on tools and technologies.
Mentor junior team members with technical and architectural guidance.
Key Requirements:

Proven experience in growing client relationships and securing new accounts.
Demonstrated team leadership with strong client-facing skills.
Comprehensive project management background in analytics, data strategy, data architecture, and data science.
Experience with cloud data platforms (Azure, AWS, GCP, Snowflake), visualisation tools, and AI/ML.
Excellent problem-solving skills, communication skills, and an innovative mindset.
If you're interested, please apply, or get in touch for more information

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.