Hamburg, Hamburg, Germany
Experienced global leader with 15+ years in quality management, process engineering, and technology implementation within the beauty and personal care industry. Proven track record in digital transformation, GMP compliance, and innovation scale-up across compounding and fill & pack technologies. Passionate about building capabilities, fostering collaboration, and delivering sustainable value through technology and quality integration.
Driving Beiersdorf’s global Quality Management digitalization strategy across all business sectors (Cosmetic, Derma, Regulated, Pharma). Responsible for end-to-end digital transformation, ensuring GMP compliance and operational excellence in a highly regulated environment. Key Highlights: - Spearheaded global rollout of eQMS and MES systems, enabling full traceability in compounding and filling operations. - Led SAP S4/Hana migration for quality processes, ensuring seamless integration and compliance. - Established a dedicated analytics pillar, transforming quality reporting into proactive, insight-driven decision-making. - Oversight of global QM digital solutions, governance, and strategic investment planning. -Built and developed a high-performing international team, fostering agility and continuous improvement.
Led global technology implementation for Derma products, driving efficient scale-up from lab to serial production and ensuring robust manufacturing processes across Beiersdorf’s network and third-party manufacturers. Key Responsibilities & Achievements: - Directed technical implementation of new product development and process improvements at production sites. - Managed process technology-related CAPA commitments and ensured accountability across internal teams and 3PMs. -Developed and optimized manufacturing processes for innovative cosmetic products, balancing efficiency and cost-effectiveness. -Planned and executed product scale-up, from lab formulations to full-scale production. -Conducted systematic error analysis in collaboration with production plants and external partners. -Coordinated adaptation of production processes for new products and product changes, including commissioning of new installations. -Created manufacturing instructions and led production trials with interdisciplinary, international teams.
Supply Chain Business Partner - Leading Global Process Development for Deodorants (Aerosols, Sticks & Roll-ons). Responsible for initiatives delivery including process design & cost savings.
Lead Research and Development activities to evaluate current and future manufacturing processes, materials and performance improvement projects for optimization. Lead the development of processes or new materials to ensure quality and cost. Ensured the best practices are leveraged at all our global beauty manufacturing sites. Providing project management and financial analysis for new processes capital investments.Lead discussion with raw material suppliers discussing technical specification and price agreements.
Led start-up and global roll-out of new making systems Main responsibilities : •Define and evaluate technical and capital costs options for achieving business objectives during feasibility stage of the programs •Prepare a project execution plan, based on engineering studies, project risk evaluation, high end computer modeling and simulation, economic evaluations and consultations with manufacturing, R&D and other contributing functions. •Lead simulation, development and innovation processes for supply of new equipment with qualified suppliers •Specify and conduct vendor acceptance tests, lead new equipment start-ups in the production plants and train the production teams •Detail project schedule planning and cost control management •Daily communication with global and local operation group and central functions like R&D, Initiative planning, Supply network operations, Purchasing, Finance& Administration and suppliers.
Quality and Financial Consulting job to improve the process of the alternate bio-fuel extracted from tire pyrolysis.
Implementation of computational studies to determine the production cycle for the optimum occupancy of the reactor in the color area and the manufacturing line occupancy. Assessment of data creation of a calculation model and develop strategies to address the issue of “Days before next run".