Technology Manager - Centre for Intelligent Power

Job Description

Description:

If you desire to be part of something special, to be part of a winning team, to be part of a fun team – winning is fun.  We are looking forward to a Technology Manager based in Pune, India. In Eaton, making our work exciting, engaging, meaningful; ensuring safety, health, wellness; and being a model of inclusion & diversity are already embedded in who we are - it’s in our values, part of our vision, and our clearly defined aspirational goals.  This exciting role offers opportunity to:

  • In collaboration with business and global CIP team develop and execute analytical platforms that can be easily consumed and deployed into applications for the industrial and electrical sector businesses.

  • Lead and direct applications for data science technologies, including the identification emerging technology trends, future commercial solutions development working closely with the global teams.

  • Drive a high-performance workforce – attract, coach, mentor and facilitate growth of strong leaders within the organization & share ownership in developing future talent pipeline.

  • Have the acumen and the passion to work with product engineering teams globally.

  • Find and incorporate best practices in data science from outside Eaton Corporation.  Cultivate and manage relationships with institutions of advanced learning and maintain a linkage to external technical community and academia.

  • Building core competencies within organization for data science based intelligent products, systems and services. Advanced Analytics for connected devices using data science technologies. 



Qualifications

Requirement:

  • At least 7+ years of related engineering experience in in data science and controls systems and solutions design, applied research, new product development, program management and innovation processes.

  • 5 years of experience leading people. 

  • Advanced degree in Computer Science, Data Science, Electrical / Electronics Engineering, Mechanical Engineering, Applied Mathematics or Statistics.

  • Experience in automotive, aerospace, O&G, grid infrastructure, mining, data centers segments.

  • Direct experience leading industrial product engineering and technology teams.

  • Proven track record of building organizational capability and talent through effective recruiting, training, coaching and development.

  • Demonstrated excellence applications of machine learning with experience with both physics-based and numerical modeling and simulation techniques. 

  • Proficiency in software-enabled and embedded controls development issues, especially in the context of model-based and hardware-in-loop control algorithm and software development processes.

  • Proficiency in IoT architectures including cloud/edge computing, storage, processing and analytical techniques at each boundary and an understanding of scalability, cost and performance trade-offs for applied applications.

  • Experience in building production grade machine learning and data fusion enabled solutions end to end is a plus. Hands on experience with common machine learning tools (Weka, R, RapidMiner and etc.) and experience with AWS Or Azure is a plus.

  • Proficient in Agile software development process and experience in software delivery and software lifecycle management.

  • Experience in leading projects with multiple stakeholders in matrix organization and strong project management experience is required.

  • Exceptionally strong business acumen.

 

   Yes! Because you are the one we are looking for, we hope to hear from you now! 

#LI-MY1

 

We make what matters work. Everywhere you look—from the technology and machinery that surrounds us, to the critical services and infrastructure that we depend on every day—you’ll find one thing in common. It all relies on power. That’s why Eaton is dedicated to improving people’s lives and the environment with power management technologies that are more reliable, efficient, safe and sustainable. Because this is what matters. We are confident we can deliver on this promise because of the attributes that our employees embody. We’re ethical, passionate, accountable, efficient, transparent and we’re committed to learning. These values enable us to tackle some of the toughest challenges on the planet, never losing sight of what matters.

Job: Engineering

Region: Asia Pacific
Organization: INNOV Innovation Center

Job Level: Manager
Schedule: Full-time
Is remote work (i.e. working from home or another Eaton facility) allowed for this position?: No
Does this position offer relocation?: International relocation – worldwide
Travel: No