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 with the Senior Director - AI, Automation & Data Insights to set the organisation's AI & Data Management strategy and multi‑year roadmap, ensuring strong alignment to business, regulatory, and transformation priorities.
• Build the organisation's enterprise data governance framework from the ground up, embedding global data‑management standards such as DAMA‑DMBoK or relevant ISO standards, while ensuring alignment with relevant local government data guidance in the regions AirTrunk operates in.
• Develop and own the organisation's Responsible AI framework aligned to modern AI system standards, relevant ISO standards and emerging Australian government AI safety and regulatory guidance. Define the policies, controls, and lifecycle governance required for safe and compliant AI system deployment.
• Develop a multi‑year approach to progressively bring critical business processes, data domains, and AI‑enabled systems under governance. Provide strategic advisory to executives on risk, compliance, ethics, and maturity uplift.

Governance, Frameworks & Compliance

• Design and implement enterprise data governance structures, including data ownership models, stewardship roles, decision rights, and accountability frameworks.
• Define data quality standards, metrics, and monitoring approaches; lead initiatives to improve data accuracy, completeness, and trustworthiness.
• Establish data classification, sensitivity labelling, and lifecycle management policies aligned to privacy and security obligations.
• Lead AI governance initiatives including risk assessments, model inventory, bias monitoring, explainability controls, and ethical review processes.
• Partner with Legal, Risk, Cyber Security, and Compliance teams to ensure data and AI practices meet all regulatory obligations and internal policy requirements.

Capability Building & Change Leadership

• Build and deliver enterprise-wide data and AI literacy programs to uplift awareness, skills, and responsible use across all levels of the organisation.
• Champion a culture of data-driven decision making, transparency, and accountability.
• Develop playbooks, toolkits, and enablement materials to support teams in adopting governance processes.
• Lead change initiatives that embed governance into business-as-usual operations and technology delivery.

Stakeholder Engagement & Collaboration

• Act as the primary escalation point and trusted advisor on all matters related to data and AI governance.
• Build strong partnerships with senior leaders across Technology, Operations, Commercial, Finance, and HR to ensure governance is fit-for-purpose and value-adding.
• Engage with external regulators, industry bodies, and partners as required to stay ahead of emerging trends and obligations.
• Represent the organisation in relevant forums and contribute to thought leadership on responsible AI and data management.

Tooling, Automation & Measurement

• Define requirements for data governance and AI management platforms; partner with Technology teams to implement and scale tooling.
• Establish metrics and reporting to track governance maturity, data quality performance, and AI system compliance.
• Drive continuous improvement through feedback loops, audits, and lessons learned.

What You'll Bring

• Significant experience in data governance, data management, or AI governance roles, ideally within complex, regulated, or rapidly scaling organisations.
• Deep expertise in data management frameworks (e.g. DAMA-DMBoK) and emerging AI governance standards and regulations.
• Proven ability to design and implement enterprise governance frameworks from scratch, including policies, processes, and operating models.
• Strong understanding of data privacy regulations (e.g. Australian Privacy Principles, GDPR), data security, and compliance requirements.
• Experience working with AI/ML systems and understanding of risks related to bias, explainability, transparency, and safety.
• Excellent stakeholder management and influencing skills, with the ability to work effectively across all levels of the organisation.
• Strong communication skills, with the ability to translate complex technical and regulatory concepts into business language.
• Experience building capability and driving organisational change in data and AI domains.
• Tertiary qualification in a relevant field (e.g. Computer Science, Information Management, Data Science, Law, or related discipline).
• Professional certifications in data governance, privacy, or AI ethics (e.g. CDMP, CIPP, or similar) highly regarded.

Desirable

• Experience in the technology, infrastructure, or hyperscale sectors.
• Knowledge of data architecture, data platforms, and modern data stack technologies.
• Familiarity with enterprise risk management and assurance processes.
• Experience managing or coordinating consulting resources.

What We Offer

• The opportunity to shape the future of AI and data governance in a high-growth, globally expanding organisation.
• A senior, visible role with significant influence and impact.
• A collaborative, innovative culture that values integrity, accountability, and continuous learning.
• Competitive remuneration and benefits.
• Flexible working arrangements.

AirTrunk is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.