Team Lead Operations Automation & AI (All genders)

As an individual contributor, you will take end-to-end ownership of complex initiatives with significant business impact. Working closely with cross-functional stakeholders, you will have the opportunity to influence key decisions, shape core operating processes, and contribute directly to the success of one of Europe’s fastest-growing unicorns.

Your Mission

As OAA Lead, you build the automation and AI capability for operations from the ground up — across production and the back-office. You identify where automation and AI deliver the highest ROI across the entire operation, own the technical delivery end-to-end, and build a team that ships working automations into production, not just prototypes.

Responsibilities

• Map and prioritise automation opportunities across production and back-office — ranked by feasibility, ROI, and implementation risk
• Own end-to-end delivery of automation projects: scoping, design, build, test, production deployment, and monitoring
• Build, mentor, and manage the Automation Engineer and Data/ML Engineer
• Define the team's technical architecture and toolchain — RPA, LLM-based tools, ML models, API integrations
• Work with operational and back-office stakeholders to translate process pain points into deployable solutions
• Own the collaboration boundary with IT and Production Engineering
• Track and report on automation impact: manual hours reduced, error rates, throughput, cost savings

Required Skills

• BSc/MSc in Computer Science, Electrical Engineering, Mechatronics, or Industrial Engineering
• 8–12 years in automation, industrial digitalisation, or AI/ML — covering both operational and business process automation
• Has personally deployed automations in production environments — not just designed or prototyped them
• RPA platforms — UiPath, Power Automate, or equivalent
• ML/AI deployment — model productionisation across structured operational and unstructured back-office data
• Systems integration — API design and data exchange across ERP, MES, and business applications
• People management and technical mentorship

Nice-To-Have

• Experience across both OT (operational technology) and IT/business process contexts
• Industry 4.0 track record — smart factory, MES integration, or similar
• LLM-based tooling — prompt engineering, agent design, document processing workflows

Equal Opportunity:

At Stark Defence, we are committed to building a diverse, inclusive, and high-performing team. We operate in an industry where women, as well as other minority groups, are systematically under-represented. We actively encourage applications from candidates of all backgrounds and identities.

If you are excited about this role, we encourage you to apply even if you don't meet all the listed qualifications—ability and impact cannot be summarised in a few bullet points. We value unique perspectives, adaptability, and a drive to solve high-stakes challenges.

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.

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung