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

Apply Now

Strategy Manager - Data

Hayes
11 months ago
Applications closed

Related Jobs

View all jobs

Principal Product Manager, Data Science & Machine Learning

Principal Product Manager, Data Science & Machine Learning

Data Science Manager

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Data Science Manager

Defence Artificial Intelligence Lead Product Manager

Job Title: Strategy Manager - Data
Department: Strategy
Reporting to: Head of Strategy

About the Role:
As the Strategy Manager - Data, your primary focus will be to enable the leadership team to make key commercial decisions through your ability to analyze and interpret large datasets, identify trends, and provide data-driven insights. You will also support initiatives to improve operational effectiveness across the segment. Additionally, you will play a key role in leading cross-functional projects, collaborating with senior leaders, and presenting actionable insights to C-level executives.

Duties and Responsibilities:

Analyze data, build models, and generate insights for commercial decision-making purposes.
Collaborate with cross-functional teams, including Finance, Engineering, and Operations, to develop business cases with a primary focus on LDG.
Gather and analyze market data to develop aviation market models to inform strategic recommendations.
Develop and deliver high-level presentations to C-level executives, clearly communicating data-driven insights and recommendations that align with the company's strategic goals.
Support Operational Effectiveness improvement measures, e.g., Make vs Buy decisions, MRO Cost-Down initiatives, Digitalisation/Digitisation initiatives.
Lead and manage strategic projects from inception to completion against scope, time, and budget.
Work closely with internal stakeholders to align data analysis initiatives against company targets.
Stay current on industry trends, particularly in the aviation and MRO sectors, and use this knowledge to shape the company's strategy.
Foster a collaborative and flexible work environment valued for innovation, communication, and teamwork.Education and Qualifications:

Bachelor's degree in Data Science, Mathematics, Business Analytics, Business Administration, Finance, Engineering, or a related field. Advanced degrees (e.g., MBA or Master's in Data Analytics) are a plus.Experience and Knowledge:

Minimum of 3 years in a data science or data analysis role, with a strong preference for experience within the aviation, manufacturing, or MRO industry.
Advanced knowledge of data analysis tools, programming languages (e.g., Python), and data visualization platforms (Power BI, Tableau, etc.).
Appreciation of data governance across cloud computing (MS Azure, MS Synapse) and databases (SQL).
Excellent financial and commercial acumen.
Familiarity with aviation operations, preferably within an MRO environment.
Excellent communication skills to effectively present complex data insights at C-level.
Advanced skills in MS-Office (Word, Excel, PowerPoint) and experience with Project Management tools.
Professional-level English language skills are essential, with fluency in a second language (preferably German) considered a strong advantage.
Strong project management experience with a willingness to take ownership of strategic initiatives and lead teams across a matrix organization.Personal Qualities:

Self-motivated with strong organizational, time-management, and interpersonal skills.
A strategic thinker with a good sense of humor and the ability to engage with stakeholders at all levels.
Ability to adapt to changing priorities and manage multiple projects in a fast-paced environment.
An individual with great cultural awareness, open-mindedness, and someone who regularly challenges the status quo.
Logical and analytical thinker.
Acts with integrity and consistently strives for excellence.Working Conditions:

Office environment, based in Hayes.
Full-time role.
Hybrid working policy applicable.
Company travel required.Additional Requirements:

Candidate must have the right to live and work in the UK unrestricted.
Mandatory training will be required.Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy

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 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.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.