airtrunk · Melbourne; Melbourne, Victoria, Australia; North Shore, Sydney
Want to be a part of Asia Pacific & Middle East's (APME) largest, most innovative, and rapidly growing data centre company? AirTrunk is a hyperscale data centre company with a powerful purpose - to scale and sustain the relentless growth of the region’s digital future. We do this by continuously redefining and delivering the digital infrastructure that meet the needs of our customers - the world’s most transformational companies. And we’re doing so sustainably, for today and tomorrow. Having opened Australia’s first and largest hyperscale data centres in 2017, we set our eyes on rapid expansion and now operate a platform of hyperscale data centres across the APME region. With backing from our investors, including Blackstone, this is just the beginning… Come join the A-Team at AirTrunk, where the cloud meets the ground. Your Impact The AI & Data Management Lead is a senior, strategic role responsible for establishing and scaling enterprise-wide data and AI management capabilities from the ground up. Reporting to the Senior Director – AI, Automation & Data Insights, this position plays a pivotal role in shaping how the organisation governs, protects, and leverages data and AI systems. You will lead the design and delivery of a foundational enterprise data & AI governance framework, ensuring the organisation operates with trust, safety, and compliance as its AI and data usage accelerates. This includes building standards, policies, controls, and operating models that uplift literacy and embed responsible use across the organisation. As one of the most senior data & AI leaders, you will deeply influence strategy, champion maturity uplift, and collaborate with business and technology teams to embed world‑class governance, quality, and management practices. Initially an individual contributor, this role will leverage consultant capacity and may grow into a formal team over time. What You'll Do Strategic Leadership Partner w …truncated… ars’ experience in data governance,…
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