Now's our time to inspire the future of healthcare together
Siemens Healthineers is a leading global medical technology company with over 170 years of experience and 18,000 patents. More than 65,000 dedicated colleagues in over 70 countries are driven to shape the future of healthcare. We stand with our customers around the world to support them in delivering high quality care to their patients. An estimated 5 million patients across the globe benefit every day from our innovative technologies and services in the areas of diagnostic and therapeutic imaging, laboratory diagnostics and molecular medicine, as well as digital health and enterprise services. This is what truly matters to us.
Position Summary:
The Compensation Specialist, Europe will be a key member of the Total Rewards EMEA team and will be responsible for supporting a portfolio of countries within the EMEA region.
In this pivotal role, you will collaborate closely with colleagues in the region to drive operational efficiency and ensure seamless coordination of compensation topics for your countries.
Key Responsibilities:
Be a trusted partner, working proactively and collaboratively with HR Country Heads
Coordinate and provide in depth and ad hoc analytical support / guidance to Business Partners and Leaders
Market Data Collation and Analysis including role matching and levelling and survey data submission
Act as main point of contact for new hire offer package reviews and advise as required
Manage stakeholder effectively
Implement global policies and programs, define and adopt Total Rewards guidelines and processes for your countries of responsibility
Ensure compensation practices adhere to best practice and legislative requirements
Lead compensation initiatives relating to M&A activity
Projects – be a key contributor for regional and global TR projects
Skills and Qualifications:
Bachelor's degree in human resources, Business Administration, or a related field preferred
An additional HR qualification, e.g., World at Work GRP, is a plus
Previous experience in compensation (ideally, within large matrix organization)
Strong analytical and data-driven mindset with advanced excel skills
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