MANAGER, CUSTOMER SUPPORT ANALYTICS & TECHNOLOGY OPERATIONS - 424716

Wilsonville, OR

Siemens Digital Industries Software is driving transformation to enable a digital enterprise where engineering, manufacturing and electronics design meet tomorrow. Our solutions help companies of all sizes create and leverage digital twins that provide organizations with new insights, opportunities and levels of automation to drive innovation.

Role Overview:

We are seeking a highly skilled and experienced Manager for our Customer Support Analytics & Technology Operations team. This role involves managing a small team of analysts to drive and improve the operations of our large global technical customer support organization. The successful candidate will evaluate, propose and deploy new metrics, dashboards and analytics best practices to improve overall efficiency and operations of our customer service teams. Part the role will also include assessing new technologies in the market, including LLMs and other AI-based solutions, to enhance the analytics capabilities and productivity of our customer support engineers. Additionally, this role requires creating and communicating professional analytics reports to various stakeholders.

Key Responsibilities:

Lead and manage a team of analysts, ensuring the smooth operation and continuous improvement of our global technical customer support organization.
Collaborate with cross-functional teams to understand and address their analytical needs, providing insights and recommendations for improvement by creating and maintaining an array of dashboards which measure case-tracking (Salesforce), support website browsing, knowledge database usage, and email campaign effectiveness.
Develop and deliver comprehensive analytics reports to various stakeholders, ensuring data-driven decision-making and strategic planning.
Foster a culture of data-driven excellence within the customer support organization.
Evaluate and implement new technologies, with a focus on AI and LLM solutions, to increase the productivity of customer support engineers.

Must-Have Qualifications:

Bachelors + at least 5 years of relevant work experience in a hi-tech software environment
Proven experience in data analysis and visualization using Python.
Strong development skills with Power BI.
Exposure to technical customer support and customer success within the software industry.
Excellent presentation skills, with the ability to create and deliver persuasive and impactful presentations to various stakeholders.
Strong persuasive communication skills, with the ability to influence and drive change.

Preferred Qualifications:

Familiarity with QlikView and Salesforce.
Prior experience with customer success platforms and metrics, such as Zendesk, Gainsight, Freshworks, Totango, HubSpot, ClientSuccess, etc.
Experience in deploying and managing AI technologies within a customer support environment.

Why us?

Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.

A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!

Siemens Software.Transform the Everyday

The salary range for this position is $99,000 to $178,200 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate’s work location as well as additional factors, including job-related skills, experience, and relevant education/training. Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: www.benefitsquickstart.com. In addition, this position is eligible for time off in accordance with Company policies, including paid sick leave, paid parental leave, PTO (for non-exempt employees) or non-accrued flexible vacation (for exempt employees).

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