Job Description

The AME Technical Capacity Specialist is part of EMEA Operations and supports capacity planning, analysis, and governance across the region. The role integrates inputs from Business, SIOP, Advanced Manufacturing Engineering, and production planning to provide end-to-end visibility of operational capacities, constraints, and risks, and delivers fact-based insights to support EMEA Operations Leadership decision-making.

Key Responsibilities:

• Consolidate and analyse capacity-related data across EMEA Operations, including demand outlook, technical capacities, available resources, and operational constraints by collaborating between SIOP, AME and plant planning teams
• Maintain and develop capacity models, scenarios, and dashboards supporting short-, mid-, and long-term planning horizons
• Support SIOP and operational planning cycles by providing validated capacity inputs, gap analyses, and risk visibility
• Analyse impacts of volume changes, mix shifts, ramps, and new product introductions on operational capacity
• Identify capacity bottlenecks, constraints, and mismatches, and support escalation with clear data and scenario-based insights
• Prepare and deliver regular capacity reviews, management summaries, and ad-hoc analyses for EMEA Operations Leadership and VP of Operations
• Support governance of capacity-related actions, including tracking mitigation plans, assumptions, and execution status
• Collaborate with production planners, material planners, AME, and central functions to ensure data integrity, transparency, and consistency

Job Requirements:

• University degree in Engineering, Industrial Engineering, Operations Management, Economics, or related field
• Minimum 2–4 years of experience in operations planning, capacity analysis, SIOP support, or similar analytical roles
• Strong proficiency in Microsoft Office tools, especially Excel and PowerPoint
• Experience with planning, reporting, and analytics tools (e.g. Excel, Power BI, SQL, ERP/MRP systems, or similar)
• Ability to structure and analyse complex datasets and translate them into clear, actionable insights
• Fluent in English
• Strong audience-centric communication skills, with the ability to tailor content for operational teams and senior leadership

Preferred Competences:

• Strong analytical mindset with attention to detail and data accuracy
• Ability to work effectively across functions with differing objectives and perspectives
• Clear, structured communicator comfortable presenting to senior stakeholders
• High level of discipline, reliability, and ownership of data accuracy
• Ability to manage and coordinate small workstreams or tasks under guidance
• Understanding of manufacturing environments, capacity drivers, and operational constraints
• Comfort working in cadence-driven planning and governance processes
• Digital curiosity and interest in modelling, automation, and data-driven operational planning

Physical & Environmental Requirements: - (To be used majorly for manufacturing jobs.)

• None

Time Travel Needed: -

• 5%

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