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Global Installed Base Manager - ABB Robotics

ABB is hiring a Global Installed Base Manager - ABB Robotics in Milano, Italy. Level rates it ; you can apply on ABB.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 2,200+ other open roles at ABB.
  • The role was posted in the last few days.

AI in this role

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This position reports to:

GPG Sales Manager

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In this global role, you will drive the strategy, governance, and continuous improvement of Installed Base data across our worldwide service organization. Knowing perfectly Installed Base, our products and our customers, is the starting point for any activity of Connected Care. Working at the intersection of business, analytics, and marketing, you will transform data into actionable insights that help identify growth opportunities, strengthen customer engagement, and accelerate service revenue.

The location of the role is global.

Working model is hybrid #LI-hybrid

Your responsibilities:

  • Own and continuously improve the global Installed Base management framework, ensuring high data quality, governance, and business accountability.
  • Partner with local service organizations, factories, and business stakeholders.
  • Define, monitor, and evolve key Installed Base KPIs, providing transparency into data quality, market coverage, and business performance.
  • Lead Installed Base and customer analyses to identify service opportunities, portfolio gaps, and growth potential across markets and customer segments.
  • Collaborate with Global Marketing and Commercial teams to support lead generation, customer targeting, and data-driven growth initiatives.
  • Act as the global subject matter expert for Installed Base management, representing the business in cross-functional projects and driving continuous process improvements.

Your background:

  • Bachelor's or Master's degree in Business, Engineering, Data Analytics, Information Management, or a related field.
  • Minimum 7 years of experience in a service business, ideally within a global industrial company, including responsibility for business-critical data, analytics, or process ownership.
  • Experience defining KPIs, driving data quality initiatives, and translating complex datasets into business insights and recommendations.
  • Knowledge of Salesforce (SFDC), CRM systems, Installed Base, asset management, or customer master data processes is highly desirable.
  • Strong analytical capabilities with advanced knowledge of Excel, Power BI, and related data visualization and reporting tools; familiarity with AI-enabled analytics is a plus.
  • Ability to influence and collaborate effectively across global, cross-functional organizations and multiple stakeholder groups.

This opportunity is open to candidates in one or more countries covered by the European Pay Transparency Directive. The final work location will depend on the selected candidate. As pay may vary by location, compensation details will be shared with candidates who progress to the first interview stage.

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.

Ready to make an impact?

Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.

How we rate this

Global Installed Base Manager - ABB Robotics at ABB rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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