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

Apply Now

Strategy Manager – Data

Lufthansa Technik Landing Gear Services UK
London
11 months ago
Applications closed

Related Jobs

View all jobs

Audit Manager - Data Science. R00AOR05263

Engineering Manager - Data Science Team

Credit Risk Manager (Data Scientist)

Manager, Data Science & AI - Data Science, Belfast, Derry/Londonderry

Manager, Data Science & AI - Data Science, Belfast, Derry/Londonderry

Program Manager, GeminiApp Data Science

TheStrategy Manager'smain tasks are:

Analyze data, build models, and generate insights for commercial decision-making Collaborate with Finance, Engineering, and Operations to develop business cases for the ACS segment, focusing on LDG Develop aviation market models and strategic recommendations based on market data Present data-driven insights and recommendations to C-level executives Support operational improvement measures like Make vs Buy decisions, cost-down initiatives, and digitization efforts Lead strategic projects, ensuring alignment with scope, time, and budget Align data analysis initiatives with LHT Ambition targets in collaboration with stakeholders Stay updated on aviation and MRO trends to shape company strategy Foster a culture of innovation, communication, and teamwork

The ideal Candidate should meet the following requirements:

Bachelor’s degree in Data Science, Business Analytics, Finance, Engineering, or related fields; MBA or advanced degree is a plus 3+ years in data analysis, preferably in aviation, manufacturing, or MRO Skilled in Python, Power BI/Tableau, SQL, and MS Azure/Synapse with strong financial acumen Familiarity with aviation operations and MRO environments Excellent communication skills for presenting insights to C-level executives Advanced MS Office and project management experience Fluent English; German or other languages are a plus Strategic thinker with strong organizational and interpersonal skills UK work rights required; office-based in Hayes with some travel

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

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.