Business Manager - AI

About the role

SGS Australia is looking for an experienced, commercially minded Business Manager - AI to lead the development and growth of artificial intelligence and predictive intelligence solutions within its Industrial Asset Intelligence business. Working closely with the General Manager, you will connect AI, data, software, robotics, sensing and automation capabilities to solve real industrial challenges, guiding initiatives from customer discovery and solution design through pilot, validation, deployment, adoption and commercial scale. This is a senior role for a practical technology leader who balances innovation with safety, governance, reliability and commercial value.

Key responsibilities

• Develop and maintain a commercially focused AI, data and predictive intelligence roadmap aligned with customer needs and business priorities.
• Lead multidisciplinary teams through discovery, solution architecture, development, pilot, validation, deployment and ongoing support.
• Translate operational and asset-management challenges into practical, secure and scalable AI-enabled solutions.
• Build predictive asset intelligence capabilities using inspection, sensor, operational, engineering and historical data.
• Set stage gates and give evidence-based recommendations on whether initiatives should stop, pivot, proceed or scale.
• Partner with business and commercial leaders to turn proven capabilities into repeatable offerings, paid pilots, proposals and sustainable revenue.
• Support AI use cases and business cases for the Network Operations Centre, Sovereign Data Centre and the broader Digital Trust Chain.
• Establish standards for AI governance, model validation, monitoring, cybersecurity, data use, human oversight and lifecycle management.
• Build collaboration across AI, data, software, robotics, sensing, engineering, OT and commercial teams.
• Identify capability gaps and recommend recruitment, development, partnership, technology investment or acquisition strategies.

Required profile

• Senior leadership experience across AI, machine learning, predictive analytics, data, software, automation or related digital technologies.
• A strong record of taking complex technology solutions from concept to production, adoption and measurable outcomes.
• Experience in asset-intensive sectors such as industrial services, infrastructure, energy, water, utilities or resources.
• Commercialisation experience covering customer discovery, business cases, pilots, pricing, service design and scalable offerings.
• Current driver's licence and willingness to travel regularly.
• Relevant tertiary qualifications are highly desirable; substantial experience in industrial technology, AI, data or automation may be considered.

Required skills

• Strong technical judgement across AI/ML, data engineering, software architecture, systems integration, automation and model lifecycle management.
• Knowledge of predictive modelling, anomaly detection, computer vision, deep learning, generative AI, large language models, retrieval-augmented generation and AI agents.
• Understanding of cloud, edge and on-premises architectures, including data sovereignty, cybersecurity, connectivity, scalability and whole-of-life cost.

What we offer

• Flexible work arrangements.
• Paid parental leave and paid time for volunteering and blood donation.
• Corporate health and wellbeing offers and ongoing learning and development.
• Career development opportunities nationally and globally.
• Employee benefits platform with retail and online discounts and cashback.