Level

ABB

Digital Platform Operation Specialist

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:

Senior Operation Manager for D&A


 

The purpose of this role is to ensure the operational reliability, monitoring coverage and continuous improvement of the Analytics Portfolio. The role combines analytics portfolio operations, service management, operational coordination and configuration of monitoring and automation to proactively identify issues, improve service reliability and support consistent operational follow-up. The engineer works closely with Analytics Product Owners, Development teams, Data Product Owners, Platform Operations teams and the Power BI / Fabric team to ensure that analytical solutions are stable, supportable and ready for effective lifecycle management.


The work model for the role is: #LI Hybrid 

This role is contributing to the Automation Business for Bangalore.


You will be mainly accountable for:


  • Ensure operational stability, monitoring coverage and service quality across a portfolio of assigned analytics products and reporting solutions.
  • Monitor product health, usage, business-critical incidents, data quality signals and service dependencies.
  • Maintain portfolio-level visibility and prepare recurring operational summaries, exception lists and follow-up actions for Product Owners and service stakeholders. 
  • Coordinate operational follow-up with Product Owners, Data Product Owners, Platform teams and business stakeholders.
  • Maintain visibility of product ownership, lifecycle status, support readiness and operational risks.

Qualifications for the role :


  • Bachelor’s or Master’s degree, or equivalent professional experience, in Computer Science, Information Systems, Data Engineering, Analytics, Engineering, Business Informatics, or a related field
  • Typically 5 years of relevant experience in analytics engineering, BI platform operations, data operations, application operations, or comparable production environments
  • Strong hands-on knowledge of Power BI Service and Microsoft Fabric, including workspaces, reports, semantic models, refresh processes, connections, capacity behavior, security roles and operational administration
  • Experience supporting a portfolio of analytics products in a global, distributed organization
  • Strong working knowledge of Snowflake, including SQL, virtual warehouses, databases and schemas, roles and access controls, query history, performance analysis, data lineage and operational troubleshooting
  • Demonstrated ability to design monitoring and observability solutions, analyze operational signals, troubleshoot complex incidents and convert recurring patterns into reusable controls
  • Experience in a global, distributed organization and collaboration across Analytics, Platform Operations, governance, Product Owners and solution teams

More above us :


ABB a provides a comprehensive range of integrated automation, electrical and digital systems and services for customers in the process, hybrid and maritime industries. These offerings, coupled with deep domain knowledge in each end market, help to optimize productivity, energy efficiency, sustainability and safety of industrial processes and operations.

 



Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. We welcome people from all backgrounds and experiences.

Ready to make an impact? Apply today or visit www.abb.com to learn more about the impact of our solutions across the globe.

Recruitment Fraud Warning

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View current job openings and apply at: https://careers.abb/global/en/home

For more information, read our full fraud warning notice at: https://global.abb/group/en/careers/how-to-apply/fraud-warning

How we score this

Digital Platform Operation Specialist at ABB scores 37 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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