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Deputy Manager - Opportunity to Cash

Siemens

Siemens

Bengaluru, Karnataka, India
Posted on May 5, 2025

Job Description

Job ID

463294

Company

Siemens Technology and Services Private Limited

Organization

Global Business Services

Job Family

Customer Services

Experience Level

Experienced Professional

Full Time / Part Time

Full-time

Contract Type

Permanent

Hello visionary!

We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team.

Siemens Global Business Services (GBS) is a Siemens Service Company that provides innovative digital solutions and customer-oriented business services. With more than 20 years of experience, Siemens GBS taps into its understanding of how organizations and businesses work to seamlessly integrate, digitalize and optimize business processes with a portfolio that covers end-to-end business needs.

You’ll make a difference by:

  • Analysis of customer machine data for suitability as Condition Indicators, prior to integration with the Senseye application and, where required, the derivation of innovative pre-processing methods to develop robust Condition Indicators.
  • To become an expert in the Senseye application functionality including knowledge of product features such as anomaly, trend, forecasting and prognostics algorithms, to enable root cause analysis of detections within the application and provide feedback both externally to customers and internally to the Product and Research departments.
  • To deliver user training to the customer for effective and efficient use of the Senseye application and keep track of new and updated application features.
  • Engage on a technical level with client project and maintenance teams.
  • Spend a significant element of their time in advising customers, how to implement and gain value from Senseye PdM application.

Your success is grounded in:

  • 3+ years’ industrial experience in a technical role, or equivalent, preferably with relevant domain knowledge in Condition Monitoring/HUMS, vibration analysis or signal processing. Category III (CAT III) Vibration Analysis certification, is a good to have.
  • Strong data analytics skills.
  • Experience using Python (or similar) for data analysis and visualization is desirable. An appreciation for machine learning and signal processing methods is desired but not essential.
  • Strong report writing and communication skills. Experience cooperating with software development teams.
  • The ability to independently manage projects and prioritize workload is a vital skill required of the position.
  • Familiarity with conditional/preventive/predictive monitoring tools/applications in an industrial setup.
  • Good knowledge on industrial applications like motors, drives, gears, etc. and associated KPIs to maintain efficient processes through consistent monitoring and diagnostics.
  • Good communication (oral and email) & interpersonal skills to support customers.
  • Flexible to extend work into UK time zones, addressing ad hoc issues.
  • Experience with cloud-based technologies and the IIoT is preferred but not essential.
  • Engineering Graduates/Diploma Holders (EEE/ECE/IT/CS/Equivalent) with good academic record & 3-5 years of relevant work experience.

Join us and be yourself!

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.

This role is based in Bangalore. But you’ll also get to visit other locations in India and globe, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries and the shape of things to come. We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries.