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Société Générale de Surveillance

Testing, inspection, and certification services globally

Business Manager - AI

Business OperationsConfirmed live in the last 24 hours
Full-timePerth Airport, AustraliaNo salary listed

About the Job

Requirements

  • 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 into production, adoption and measurable business or customer 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.
  • Strong technical judgement across artificial intelligence and machine learning, data engineering, software architecture, systems integration, automation and model lifecycle management.
  • Knowledge of contemporary AI applications, including predictive modelling, anomaly detection, computer vision, deep learning, generative AI, large language models, retrieval-augmented generation and AI agents.
  • An understanding of cloud, edge and on-premises architectures, including data sovereignty, cybersecurity, connectivity, scalability and whole-of-life cost.
  • A current driver’s licence and the willingness and ability to travel regularly.

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.
  • Establish clear stage gates and provide 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 opportunities.
  • Support AI use cases and business cases for the Network Operations Centre, Sovereign Data Centre and broader Digital Trust Chain.
  • Set fit-for-purpose standards for AI governance, model validation, monitoring, cybersecurity, data use, human oversight and lifecycle management.
  • Build collaboration across AI, data, software, robotics, sensing, engineering, operational technology and commercial teams.
  • Identify capability gaps and recommend recruitment, development, partnership, technology investment or acquisition strategies.

Desired Qualifications

  • Relevant tertiary qualifications are highly desirable, although substantial experience in industrial technology, AI, data or automation may be considered.

About the Company

Société Générale de Surveillance

Testing, inspection, and certification services globally

SGS provides testing, inspection, and certification services to help clients meet regulations, ensure quality and safety, and gain market access. It runs laboratory testing, on-site inspections, and certification against standards, often with training and consulting, across a wide range of industries. The services rely on a global network of laboratories and offices that deliver localized solutions with global expertise. What sets SGS apart is its large global footprint and its emphasis on quality, integrity, risk mitigation, and sustainability, enabling it to serve a diverse set of customers from small businesses to multinationals. The company's goal is to help customers comply with regulations, improve product quality and safety, reduce risk, and boost productivity across markets.

Company size
10,001+
Company stage
IPO
Headquarters
Geneva, Switzerland
Founded
1878

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