Remote and Proactive Service Strategy Manager

Remote and Proactive Service Strategy Manager

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.

Our global Service Operations Support team (SOS) in Customer Services for Laboratory Solutions (CS-LS)
We are a team of approx. 200 highly dedicated employees enabling and supporting our Service Teams (Engineers and Application Specialists) around the Globe. We closely collaborate with R&D to ensure efficient and effective serviceability of our in‑vitro laboratory solutions. We ensure that our service teams around the globe are ready to deliver customer focused and effective service and applications. We also provide our deep knowledge and expertise to them when solution support is needed.

• Design and implement our predictive and remote service strategies that enhance customer satisfaction, reduce service costs, and improve operational efficiency ensuring that this strategy incorporates state‑of‑the‑art technologies and approaches, and will adapt to new developments.
• Develop and optimize predictive models and Proactive Service Messaging (PSM) to anticipate technical failures, minimize downtime, and enhance instrument reliability.
• For our current on‑market product, enhance proactive and remote service capabilities to ensure the capabilities evolve with a focus on remote service support.
• For our new products in development, integrate leading‑edge proactive and remote service capabilities ensuring serviceability is embedded from design through launch.
• Collaborate cross‑functionally to enable seamless access and utilization of machine data across business lines and service delivery teams.
• Deliver actionable insights by presenting data‑driven recommendations to stakeholders, including leadership, R&D, and service operations.

• You have developed and implemented strategies in service operations with clear results.
• You have prior experience in remote support design, digital service transformation, or field service optimization with proven outcomes.
• You have experience in building and deploying machine learning models for predictive maintenance or anomaly detection.
• You have experience working with data models to detect trends and form conclusions that can be presented to senior levels of management.
• You have experience in incorporating new technology and developments into remote and predictive service delivery.
• You are proficient with Python, R, SQL, and data visualization tools (Power BI, Tableau).
• You have good presentation and communication skills, and you show business, team and customer orientation.
• You have previous experience with the Siemens Atellica Solution product family.
• Minimum Bachelor’s degree or equivalent experience required;
  Master’s or PhD in Data Science, Machine Learning, Biomedical Engineering, Computer Science, or a related field is preferred.
• Willing to travel up to 10 %.
• Preferred experience with Laboratory Diagnostics instruments.

The Base Pay Range For This Position Is
$128,490 – $176,671
Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long‑term and short‑term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time.

Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affimative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, and other categories protected by federal, state or local law.
EEO is the Law:
Applicants and employees are protected under Federal law from discrimination.