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Senior Engineer, IT Business Systems Analytics

  • ams OSRAM
  • Philippines
  • PHP 1,200,000 – PHP 1,800,000

Sense the power of light

The ams OSRAM Group is a global leader in innovative light and sensor solutions. With more than 110 years of industry experience, we combine engineering excellence and global manufacturing with a passion for cutting-edge innovation enabling transformative advancements in the automotive, industrial, medical, and consumer industries. “Sense the power of light” – our success is based on the deep understanding of the potential of light and distinct portfolio of emitter and sensor technologies. Around 19,700 employees worldwide drive innovations alongside societal megatrends.
Find out more about us on https://ams-osram.com

Your new responsibilities

  • Lead local AI and Generative AI initiatives by identifying and driving business opportunities for AI implementation
  • Coordinate AI projects with global and local stakeholders to drive citizen AI adoption, user engagement, and successful AI implementation across the organization
  • Drive AI use cases, process automation, predictive analytics, and smart factory initiatives across manufacturing and business functions
  • Deploy and support AI platforms, solutions, dashboards, and automation workflows
  • Drive AI adoption through training, awareness programs, and best-practice guidance
  • Ensure secure, compliant, and responsible AI usage through governance, risk management, and cybersecurity controls

Who we are looking for

  • Bachelor’s degree in information technology, Computer Science, Computer Engineering, Data Science, or related discipline
  • 3+ years of experience in IT, Analytics, Automation, Digitalization, or AI-related roles. Experience with Microsoft 365, Power BI, Power Platform, and AI tools, Python Programming and MS development and platforms
  • Knowledge of manufacturing processes is an advantage

Please contact Soi Kim Kee for further information via suki.kee@ams-osram.com or +65 () 62402395.

Skills

  • Artificial Intelligence
  • Generative AI
  • Data Analytics
  • Process Automation
  • Project Management
  • Stakeholder Engagement
  • AI governance

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