Head of Autonomous Network Automation & AI Platform

Optus; Melbourne; Hybrid; AUD 300,000 - 500,000; Full time

Benefits offered by this job

Competitive remuneration

Flexible working arrangements

Parental leave 16 weeks

Counselling services 24/7

Diversity & inclusion initiatives

Education partnerships with La Trobe &

Job summary

Optus is seeking a Senior Director of Operational Automation Engineering to lead automation, orchestration and AI platform capabilities for Network Operations. The role focuses on scalable, secure and cost-conscious automation that delivers faster service restoration and better customer outcomes.

You will drive the target operating model, oversee governance, and lead cross-disciplinary teams to elevate engineering excellence and continuous improvement across technology and operations.

Qualifications

• Executive leadership and strategic oversight for large-scale automation.
• Experience delivering enterprise-scale automation and AI platforms.
• Strong governance, risk and FinOps understanding for automated environments.

Responsibilities

• Own automation, orchestration and AI platform strategy and roadmaps.
• Define operating model and drive autonomous execution transitions.
• Lead scalable automation framework engineering and standards.
• Develop cross-domain orchestration with governance and risk controls.
• Oversee AI platform governance, FinOps and cost efficiency.
• Set metrics and value realization for automation adoption and MTTR reduction.

Skills

Executive leadership

Automation strategy

Orchestration

AI platform governance

Stakeholder management

Education

Engineering degree

Telecommunications background

Computer Science

Job description

Optus is seeking a Senior Director of Operational Automation Engineering to lead automation, orchestration and AI platform capabilities for Network Operations. The role focuses on scalable, secure and cost-conscious automation that delivers faster service restoration and better customer outcomes.

You will drive the target operating model, oversee governance, and lead cross-disciplinary teams to elevate engineering excellence and continuous improvement across technology and operations.