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EU remote

Team Lead Operations Automation & AI (All genders)

SkdseMunich, BavariaPosted 2 Nov 2026

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About this role

At Stark, we forge the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision. As a premier defence technology company, our mission is clear: to equip NATO Allies and their partners with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world’s most demanding environments. We believe that true security stems from relentless innovation.

By combining elite engineering talent with agile technology and an AI-native operational culture, Stark turns complex defence challenges into field-tested, multi-domain solutions. WHY JOIN US The software and systems you work on directly protect personnel and defend European and national sovereignty. You will work alongside industry-leading minds on autonomous systems, advanced propulsion, and secure cyber platforms. We foster a fast-paced, collaborative environment where bold ideas are supported by serious R&D backing.

ABOUT THE TEAM The Operations Excellence team sits within the COO organization and serves as the strategic nervous system powering Stark’s operational scaling and performance. We design, deploy, and continuously optimize end-to-end operational processes across our manufacturing, supply chain, and multi-site facilities. As our Operations Analytics & Automation Lead, you will drive operational efficiency and data transparency across critical defense production initiatives.

YOUR MISSION You will lead the creation and implementation of advanced operational analytics, reporting dashboards, and automation solutions for our operations organization. As the OAA Lead, you will bridge the gap between operational workflows and data-driven insights to power scaling across our defense manufacturing platforms. WHAT YOU WILL DO AT STARK Architect and build real-time executive dashboards and KPI reporting frameworks across manufacturing, supply chain, and facility operations.

Identify operational bottlenecks and design automated workflow solutions using modern data and low-code/no-code toolstacks. Partner closely with COO leadership, shop floor managers, and engineering teams to establish data-driven operational standards. Analyze complex operational datasets to deliver actionable recommendations for inventory, throughput, and lead-time optimization. Standardize data structures and reporting models across multi-site production facilities.

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WHAT YOU BRING TO THE MISSION 5+ years of experience in operations analytics, industrial engineering, or data engineering within manufacturing or hardware technology. Strong mastery of SQL, Python, and modern BI/visualization tools (e.g., Tableau, PowerBI, Looker). Proven track record of building and scaling operational dashboards and automated process workflows in high-growth environments. Degree in Engineering, Data Science, Supply Chain, Operations, or a related quantitative discipline.

NICE TO HAVE Experience with ERP systems (e.g. SAP) and MES implementations in defense, aerospace, or automotive manufacturing. Familiarity with low-code/no-code automation tools (e.g., Zapier, Make, Power Automate). If you're interested in building the future of European Defence with us, and you see yourself reflected on the description above, please send us your CV in English . We're looking forward to meeting you! SECURITY CLEARANCE Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position.

Details will be provided during the recruitment process. EQUAL OPPORTUNITY We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, or any other characteristic protected by applicable law. DATA PRIVACY STATEMENT This data privacy statement, which refers exclusively to data collected as part of the online application process, is to inform you about how your personal data that is collected as part of the online application process is handled at our end.

The controller The controller under data protection law is: SKD SE Französische Strasse 12, 10117 Berlin Commercial register entry number: HRB 260878 Registration Court: Amtsgericht Charlottenburg Data Protection officer: heyData GmbH, Schützenstraße 5, 10117 Berlin, www.heydata.eu , ----- Personal data collected as part of the application process Personal data means any information concerning the personal or material circumstances of an identified or identifiable individual.

This includes information such as, for example, your name, address, telephone number and date of birth, but also data relating to your specific career etc. by reference to which a specific individual can be identified with reasonable effort. However, information which cannot be (in)directly associated with your real-life identity is not personal data. Fundamentals and purposes of processing personal data collected from application documents and during the application process If you apply to us electronically, i.e.

via e-mail or using our online form, we will collect and process your personal data for the purpose of executing the application process and preparing contracts. By submitting an application via our recruitment website, you express your interest in taking up work with us. In this context, you transmit personal data, which we will use and store exclusively for the purpose of your job search / application process. In particular, the following data is collected during this process: name (first and last names) e-mail address phone number LinkedIn profile (optional) channel through which you found us Furthermore, you can choose to upload expressive documents such as a cover letter, your CV and reference letters.

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