SP

Sandra P.

Chief Financial Officer (cfo) Of Camline Group at camLine

Sandra P. has extensive experience in finance and administration, with their most recent role being the Chief Financial Officer (CFO) of camLine group. Prior to that, they worked as a Finance Manager for camLine. Before joining camLine, Sandra held the position of Head of Finance & Administration at Step Ahead AG and was responsible for managing the finance and administration department. Sandra also worked as a Manager, Finance and Administration for the same company. Sandra's earlier experience includes managerial positions at Thermo Fisher Scientific, where they were in charge of financial planning and analysis as well as finance and accounting. Sandra also played a key role in implementing a new ERP-system at the Amsterdam factory. Prior to Thermo Fisher Scientific, Sandra worked as an Accountant at Dionex Corporation and as a Qualified Tax Clerk at RBF Steuerberater, where they handled bookkeeping, payroll, and tax declarations for various clients.

Sandra P. has a diverse education history. In 2000-2003, they completed an apprenticeship at RBF Steuerberater, obtaining the title of Qualified Tax Clerk. In 2004-2007, they attended IHK and earned a Bachelor's degree in Professional Accounting (CCI). In 2008, they furthered their education at IHK and received a Bachelor's degree in Professional Accounting International (CCI). Lastly, in 2013, Sandra completed the Developing Emerging Leaders Program at Thermo Fisher Scientific.

Location

Munich, Germany

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camLine

camLine has been recognized as a valued IT solution partner for high-tech manufacturing over the past 30 years. Industry automation systems are based on MES/MOM modules. Numerous implementations can be found in semiconductors, electronics, automotives, solar, batteries, medical devices, and renewable energies across Europe, North America, and APAC. In addition to service domains on quality assurance, process integrity, production logistics, OEE, monitoring and reporting, camLine’s solutions feature the orchestration of shop floor activities among different communication layers. As part of Elisa IndustrIQ, AI and machine learning (AI/ML) techniques are integrated in statistical methods to foster optimal engineering analysis and defect control. Imprint: https://www.camline.com/imprint/ Privacy policy: https://www.camline.com/privacy-policy/