Paul Staab
Senior Solution Architect - Data Analytics & Ai @TÜV SÜD
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WORK HISTORY
Senior Solution Architect - Data Analytics & Ai @TÜV SÜD
Munich, DE
I design and deliver data and AI-driven solutions end-to-end — from initial concept to incremental, user-focused rollout in production environments.My work is centered on using Data & AI to drive digitalization at company level: translating business needs into scalable solutions that improve processes, support employees in their daily work, and create measurable value across the organization.I operate at the intersection of business and technology, combining solution architecture, delivery leadership, and stakeholder alignment to turn complex ideas into working products.Key focus areas- Driving the design and implementation of Data Analytics & AI solutions from strategy to production- Enabling company-wide digitalization through practical, scalable, and user-centered technology- Translating business challenges into robust architectures and actionable delivery roadmaps- Delivering incrementally to ensure adoption, feedback, and measurable business impact- Leading cross-functional collaboration across technical teams and business stakeholders- Stabilizing, scaling, and evolving high-visibility solutions in enterprise environmentsI focus on building solutions that are not only technically sound, but also usable, relevant, and capable of creating lasting change in how the organization works.
EDUCATION
The University of Freiburg
Diplom, Mathematics
Ludwig-Maximilians-Universität München
Dr. rer. nat., Statistical Genetics
SKILLS
ABOUT PAUL STAAB
I build and deploy Data & AI solutions that work in the real world — not just in demos. With 13+ years of experience across 20+ complex data and AI projects, I specialize in taking ideas from concept to production and embedding them into business-critical workflows. My focus is on operationalizing AI: making systems reliable, scalable, and actually used by the people they are built for. In my current role as Senior Solution Architect at TÜV SÜD, I drive data and AI initiatives end-to-end to support company-wide digitalization. I work at the intersection of engineering and business — translating complex requirements into production-ready systems and ensuring they deliver measurable impact. What I bring- Strong experience in building and scaling AI/ML and LLM-based applications in production - Deep background in data engineering, cloud-native architectures, and DevOps - Hands-on development skills (primarily Python, with exposure to TypeScript and modern data stacks)- Proven ability to bridge technical implementation and business needs - Experience in high-visibility environments where reliability, safety, and trust matter I’m particularly motivated by working closely with users and customers to apply frontier AI to real problems, shaping how these systems are deployed in practice and continuously improving them based on real-world feedback.
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