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Manager Analytics & AI

Job in Zürich, 8081, Zurich, Kanton Zürich, Switzerland
Listing for: Kanadevia Inova
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 180000 - 260000 CHF Yearly CHF 180000.00 260000.00 YEAR
Job Description & How to Apply Below
Location: Zürich

Company Description

Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation.

Transforming Waste into Value

At Kanadevia Inova, we pride ourselves on being at the forefront of waste-to-X technology. We are not just waste managers; we are creators of value from what communities discard. Your role at Kanadevia Inova directly contributes to turning something once considered useless - waste - into something invaluable: energy, heat, hydrogen, fertilizer, and beyond.

Company Description

Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation.

Transforming Waste into Value

At Kanadevia Inova, we pride ourselves on being at the forefront of waste-to-X technology. We are not just waste managers; we are creators of value from what communities discard. Your role at Kanadevia Inova directly contributes to turning something once considered useless - waste - into something invaluable: energy, heat, hydrogen, fertilizer, and beyond.

Job Description

Turning advanced analytics and artificial intelligence into real business impact. Join us in shaping the future of AI by leading innovative solutions, driving enterprise-wide adoption, and building high-performing teams that create measurable value across the organisation.

Your Responsibilities
  • Lead & Inspire a team of Data Scientists, ML Engineers, and AI Specialists, fostering innovation, collaboration, and continuous growth.
  • Shape AI Strategy by identifying high-value opportunities, defining the Analytics & AI roadmap, and driving responsible AI adoption across the business.
  • Partner with Stakeholders across business and technology functions to transform challenges into impactful AI and analytics solutions.
  • Drive AI Solutions & Platforms by leading the development, deployment, and operation of scalable AI, Machine Learning, and MLOps capabilities.
  • Provide Technical Leadership through hands-on guidance, architectural oversight, and expertise in AI, GenAI, ML, and modern technologies.
Qualifications

We are looking for a leader who combines strategic thinking, technical expertise, and a passion for driving business value through AI, ML and advanced analytics.

  • Proven leadership experience in Analytics, Data Science, Machine Learning, or AI, with a track record of building and developing high-performing teams.
  • Strong expertise in AI, Machine Learning, and Advanced Analytics, including enterprise-scale solution delivery and AI adoption initiatives.
  • Hands-on technical knowledge of MLOps, model deployment, cloud platforms (preferably Azure), Python, and modern AI technologies such as LLMs, Generative AI, and AI Agents.
  • Business-oriented mindset with the ability to translate opportunities into impactful solutions and measurable outcomes.
  • Excellent communication and stakeholder management skills, with the ability to influence, drive change, and collaborate across global teams.
  • Education:

    Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or a related field.
  • Experience in Engineering, Manufacturing, Energy, or other industrial environments is a plus.
Additional Information We offer
  • Responsible challenge with diversified field of activity
  • Team-oriented working atmosphere in an international Company
  • Personal development opportunities through own Inova Academy
  • Opportunity to gain an insight into various technical disciplines
  • Excellent employment conditions
  • Attractive working place (central, good transport links)
  • Modern infrastructure
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