Building an AI-Enabled Workforce for the Future of $19.2B Aerospace Engineering
Discover How Draup Helped a Defense & Security Leader Redefine Skill Architecture
About the Company
A leading European multinational in aerospace, defense, and digital engineering, the company designs advanced systems in aviation, security, and space technology. The aerospace engineering giant also integrates AI, simulation, and cyber-resilient digital engineering to enhance competitiveness and foster workforce innovation. This approach enhances competitiveness and fosters workforce transformation into a rapidly evolving technological landscape.
Before Draup
1
Evolving Job Architecture
Rapid skill shifts across AI, quantum computing, and digital engineering required redefining job role families and competencies.
2
Bridging the Skills-Roles Gap
Legacy engineering roles needed to evolve toward systems thinking, software-defined operations, and data-driven decision-making.
3
Future-Proofing Reskilling
The company’s Professional Training Center needed a measurable roadmap for reskilling and personalized learning.
4
Boosting Internal Mobility
The company sought to redeploy existing talent across geographies and business units instead of relying heavily on external hiring.
The Core Challenges
To anticipate future skill needs and align talent pipelines with next-generation technologies, the company needed a unified view of role evolution across engineering, avionics, and security.
To benchmark effectively and assess workforce readiness, the organization required greater transparency into the AI and digital talent ecosystems of leading aerospace and defense peers.
To modernize job architectures and align current roles with emerging capabilities, the company had to move beyond traditional, manual, and function-specific role mapping methods.
To diversify its workforce and enable global expansion, the company needed broader visibility into AI, software, and digital twin expertise hotspots beyond Europe.
The Solution
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Outcome
Future-Ready Talent Architecture
Established a unified, AI-enabled taxonomy identifying emerging skill clusters in quantum engineering and simulation technologies.
Enhanced Internal Mobility & Retention
AI-driven talent matching enabled redeployment of engineers across global business units, reducing hiring costs and improving agility.
Smarter Learning Investments
Personalized learning and impact analytics shifted focus from activity-based training to measurable learning ROI.
Data-Driven Workforce Planning
Real-time analytics empowered HR and leadership teams to forecast role evolution and align planning with technological innovation.
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