Lead Solutions & Implementation Engineer

Lead Solutions & Implementation Engineer

Working in Manufacturing at JLR, you'll be the hands- on expert who brings innovation to life. You'll collaborate with a team of expert technicians and problem-solvers and use cutting-edge tools, facilities, and processes engineered together to build era-defining vehicles that people across the world know and love. Your expertise will directly impact the shaping of modern luxury. Together, let’s create the exceptional.

We are seeking a highly skilled GME Logistics Lead Solution and Implementation Engineer to design, develop, and deploy innovative solutions that drive logistics excellence across our global operations. The successful candidate will be a proactive self-starter with the ability to critically review existing processes and quickly absorb new concepts or methodologies. They will apply this understanding to develop new data models or enhance existing ones, clearly demonstrating how proposed changes can improve logistics performance.

You will have a strong understanding of automotive manufacturing logistics flows and be able to identify and influence the key levers that drive different performance outcomes across the end-to-end logistics network. Importantly, you will not only identify opportunities for improvement, but also lead or support the implementation of process and system changes to realise tangible benefits.

Working closely with stakeholders across material flow, planning, and logistics operations, you will use data-led insights to inform decision making and drive continuous improvement. Your contribution will help ensure our logistics systems and solutions consistently operate at — and are benchmarked against — the highest industry standards.

What to Expect

• Design, develop, and enhance data models to support evidence-based decision making and optimisation of logistics processes.
• Partner with operational teams to convert analytical insights into implemented solutions, delivering clear and measurable business outcomes.
• Continuously identify and evaluate improvement opportunities within logistics processes, using data modelling to validate change and demonstrate value.
• Lead the deployment of designed solutions into production environments, coordinating with external vendors and internal stakeholders to ensure successful delivery.

What You’ll Need

• Experience within Supply Chain and Logistics environments.
• Strong analytical and statistical skills, with the ability to interpret and model complex datasets within Microsoft Excel.
• Experience in process improvement, with a track record of delivering measurable enhancements.
• Excellent capability to translate complex data into clear, actionable insights.
• A self-starter who works independently, is results-driven, and demonstrates resilience, tenacity, and the ability to deliver in a highly demanding environment.

Benefits

• Discounted car purchase (open to family members, too)
• A 52-week maternity leave policy and a 4-week paternity leave policy. Other parental leave policies are available.
• A competitive pension.
• A JLR company performance-related bonus.
• An employee learning scheme providing funding for education, training and other activities that support development of personal skills and promote lifelong learning.
• Access to open, employee-led support and social networks.
• Comprehensive Life Assurance and Income Protection policies.
• Flexible working.

We work hard to nurture a culture that is inclusive and welcoming to all. We understand candidates may require reasonable adjustments during the recruitment process. Please discuss these with your recruiter so we can accommodate your needs.

Applicants from all backgrounds are welcome. If you’re unsure that you meet the full criteria of a role – but you're interested in where it could take you – we still encourage you to apply. We believe in people's ability to grow and develop within their role – it’s what makes living the exceptional with soul possible.

JLR is committed to equal opportunity for all.

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