Team Lead Operations Automation & AI (All genders)
We are focused on delivering deployable, high-performance systems — not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe, today.
]]> The Operations Excellence team sits within the COO organization and serves as a strategic partner to managers, team leads, and colleagues across Stark. By delivering data-driven insights, leading critical projects, and driving continuous process improvement, we help the organization operate more efficiently, scale effectively, and achieve its goals faster.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
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
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
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