Global oil and gas producer scaling AI and cyber defense
Woodside Energy is a Perth-based oil and gas operator with assets across six continents, now investing heavily in AI platform development and generative AI integration alongside a parallel build-out of cyber monitoring and incident response capabilities. The hiring mix—13 senior roles, dual AI Tech Lead and Data Science AI Lead positions, plus dedicated security and data teams—signals a shift from traditional energy operations toward digital resilience and AI-driven efficiency. Their tech stack (SAP, Anaplan, AWS, SageMaker) supports financial planning and machine learning, but the absence of adopting/replacing signals suggests they're still in early-stage AI implementation.
Notable leadership hires: AI Tech Lead, Data Science AI Lead
Woodside Energy is a publicly traded Australian energy company founded in 1954, operating oil, gas, and liquefied natural gas assets in Australia, the Gulf of Mexico, Trinidad and Tobago, Senegal, Timor-Leste, Canada, and Barbados. The company serves a 1,001–5,000 person organization structured around three operational pillars: gas, oil, and new energy. Beyond commodity production, Woodside is actively building internal digital infrastructure—materials management, inventory optimization, and LNG procurement strategy—while simultaneously addressing energy transition challenges and regulatory uncertainty. Current hiring (27 active roles, 25 posted in the last 30 days) spans engineering, data, security, and finance, with geographic reach into Australia, India, the US, Singapore, Mexico, and the UK.
AI platform development, generative AI integration, cyber monitoring and incident response, materials management strategy, and inventory optimization. They operate oil, gas, and LNG assets across six continents with a focus on safety, reliability, and lower-carbon operations.
SAP, SAP S/4HANA, Blackline, Anaplan, Microsoft Office, Excel, Jira, GitHub, Bentley APM, AWS, and SageMaker. The stack reflects enterprise resource planning, financial planning, cloud compute, and machine learning workloads.
Active hiring across Australia, India, United States, Singapore, Mexico, and United Kingdom. Recent roles (25 posted in 30 days) span engineering, data, security, finance, and product, with emphasis on senior-level and lead positions.
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