Manager Analytics & AI

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.