Head of AI, Automation & Analytics

Accountabilities

• Define and lead the AI and automation function's strategy, operating model, and rolling six-month roadmap, ensuring alignment with executive priorities and organizational objectives.
• Establish quarterly objectives and key results (OKRs), monitor progress, and communicate performance and strategic outcomes to steering committees and executive leadership.
• Identify, evaluate, and prioritize business processes suitable for automation and AI implementation, considering potential business impact, time savings, efficiency gains, and operational risks.
• Own the roadmap and continuous development of the organization's internal AI assistant, connecting company knowledge, data, and tools through a unified interface.
• Lead, mentor, and develop a multidisciplinary AI and automation team, including defining responsibilities, managing performance, planning team structure, and recruiting new talent.
• Oversee delivery operations through structured sprint cycles, prioritization frameworks, and capacity planning that balance strategic projects, incoming requests, continuous improvement, and operational support.
• Define technical architecture and development standards for AI agents, retrieval-augmented generation (RAG), Model Context Protocol (MCP) integrations, and workflow automation.
• Review technical designs and production readiness of solutions built using Google Cloud technologies, including Vertex AI, BigQuery, and Google Kubernetes Engine (GKE), as well as n8n.
• Lead the delivery of complex, cross-functional automation projects spanning multiple departments and systems, including employee onboarding and offboarding workflows.
• Establish and enforce production automation standards covering system ownership, error monitoring, alerting, code quality, documentation, and least-privilege access.
• Regularly audit automation platforms, identify governance or reliability gaps, and coordinate remediation initiatives.
• Collaborate with Cloud Platform Engineering, IT, and Security teams to ensure appropriate hosting, access management, infrastructure security, and incident response procedures.
• Conduct AI risk assessments as part of vendor procurement, evaluating AI usage, data handling practices, security implications, and contractual requirements.
• Manage relationships with external technology providers and oversee the function's tooling ecosystem, including n8n, AI model providers, and Google Cloud AI services.
• Act as the central point of contact for AI, automation, and analytics requests, ensuring every request is properly assessed, assigned, and managed through a transparent intake process.
• Partner with department leaders to understand existing workflows, identify improvement opportunities, and determine which solutions should be delivered centrally or enabled within individual teams.
• Drive internal adoption through clear documentation, communication, and training initiatives in collaboration with the AI and Automation Enablement Lead.
• Measure success through operational efficiency gains, cost and time savings, platform adoption, automation reliability, request ownership, and organizational awareness of available services.

Requirements:

• Bachelor's degree in Software Engineering, Computer Science, Cybersecurity, or a related technical discipline.
• Several years of professional experience in cloud infrastructure, security engineering, and automation, including designing and managing production systems on Google Cloud.
• Strong working knowledge of large language models (LLMs), AI agents, retrieval-augmented generation (RAG), and the Model Context Protocol (MCP).
• Practical experience with Infrastructure as Code (IaC), particularly Terraform, as well as containers, Kubernetes, and Identity and Access Management (IAM).
• Proven experience leading and developing technical teams, establishing strategic roadmaps, defining OKRs, and reporting results to senior executives.
• Strong understanding of workflow automation, operational efficiency, and the opportunities and risks associated with implementing AI across business functions.
• Ability to identify repetitive, low-value activities and design secure, scalable solutions that improve productivity and reduce operational overhead.
• Experience managing multiple projects and stakeholder groups simultaneously, with strong prioritization, coordination, and problem-solving capabilities.
• Excellent written and verbal communication skills, with the ability to explain technical decisions, risks, and trade-offs clearly to both technical and non-technical audiences.
• Strong stakeholder management skills and the confidence to challenge existing approaches, communicate ideas diplomatically, and contribute constructively to strategic discussions.
• Comfortable working in a culture that values radical candour, emphasizing transparency, respectful feedback, accountability, and openness to different perspectives.

Additional qualifications that would be an advantage:

• Relevant certifications in cloud infrastructure, cybersecurity, or artificial intelligence, particularly Google Cloud certifications.
• Experience working in enterprise technology environments, especially in roles supporting internal business stakeholders.
• Background in security operations, risk management, or compliance frameworks such as SOC 2, with practical experience applying governance principles to AI and automation systems.

Benefits:

• Monthly lifestyle subsidy: Financial, physical, and mental well-being support through a flexible monthly allowance.
• Work-from-home setup allowance: Financial assistance to establish a comfortable and productive home office during the first three months.
• Annual learning and development budget: USD 1,500 per year to invest in professional training, certifications, courses, and career development opportunities.
• Generous annual leave: Paid time off, plus two additional company-wide leave days to support rest and personal well-being.
• Paid parental leave: 18 weeks of paid leave, regardless of parenting role.
• Personal leave: Additional allowance covering sick leave and carer's leave.
• Fully remote working environment: Work remotely with no mandatory office attendance, with physical offices available in Sydney and Hobart.
• Premium hardware: High-performance laptops and equipment provided to support your work.
• Generative AI allowance: Paid subscriptions to generative AI tools, enabling employees to explore and use advanced technologies in their daily work.
• International work environment: Opportunity to collaborate with talented professionals across Australia, the United States, the United Kingdom, and India.
• Professional recognition: Join an organization recognized as a Great Place to Work® across several international markets.

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