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In this position, you take technical responsibility for the digital design scope in ASIC projects, coordinating specification, development, and integration across all stakeholders. You align requirements, structure execution, and drive key technical decisions to ensure a robust and consistent...

Support the full deal lifecycle on acquisitions and disposals across Germany and international markets, covering office, hotel, residential, logistics, and development assets....

Assess customer machines and systems, both modern and legacy equipment, to find out what data is available, what needs to be upgraded, and how to get it....

• Each project starts with an open decision problem and incomplete ERP and Excel data. The customer needs to know early which result the available data supports.
• We run several customer projects in parallel, without a standard process for kickoff, scoping, data and first result.

Provide leadership, coaching, development and performance management to the European People Services Partner team while fostering a collaborative, inclusive and accountable working environment....

• You are responsible for operational and strategic financial planning and budgeting
• Develop and maintain short-, medium- and long-term business plans, annual budgets and rolling forecasts, translating commercial and operational assumptions into integrated financial plans.

Lead transactions end to end, from initial idea and origination through business case development, due diligence and negotiation to signing. You work closely with the CEO and CFO, our investors and external advisers, beginning with a number of investments already identified....

Own the AI platform – take end-to-end ownership of Roland Berger's AI ecosystem, including the AI orchestration layer, AI agent frameworks, LLM integrations, and model routing infrastructure; shape the platform roadmap, own the platform budget, and drive build-vs-buy decisions in alignment with IT...

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.