Troubleshoot and resolve data-related issues and provide ongoing support to analytics and business teams. Collaborate with data scientists, analysts, and other……
A tertiary degree or certified qualification in data science, analytics, or engineering, or a related field, or substantial knowledge and expertise.…
A relevant tertiary qualification in a quantitative, data, information systems or related discipline. And to deliver a world-class healthcare system that……
A relevant tertiary qualification (or equivalent extensive industry experience) is essential. And to deliver a world-class healthcare system that ensures every……
A relevant tertiary qualification in a quantitative, data, information systems or related discipline. And to deliver a world-class healthcare system that……
5+ years experience in data analytics engineering. Develop, maintain conceptual, logical, and implement physical data models along with the technical metadata……
To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days,……
To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days,……
Improving care quality and resident/client outcomes through data-driven insights. Experience within healthcare, human services, aged care or another highly……
Experienced in data-driven analytics hands-on experience with deep know-how of predictive modeling, machine learning and data mining, and relevant modeling……
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Strong employee benefits offering, including product discounts, allowances & additional leave. The chance to join one of the biggest Retail businesses in……
A tertiary qualification in health information management, any health-related discipline or information technology related field would be desirable.…
Minimum of 3 years’ experience of working on data analysis and complex data management projects, particularly in the area of master data management.…
Deliver strategic data outcomes and influence the data analytics strategy. Translate large, disparate data sources and implement modern data architecture……
Hold a current visa or be in the process of obtaining a visa permitting you to work full-time in Australia for the 18-month duration of the program until 6……
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This role focuses on building a strong data and analytics foundation that is embedded into products from day one. 1 wellbeing leave day per year.…
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Stay current with evolving data tools, technologies, and best practices. We are looking for a Data Analyst with 2–4 years of experience in data analysis, strong……
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To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days,……
Strong Technical Documentation skills with the ability to create and maintain effective data analytics documentation and standards, such as: methodology,……
Optus is a leading telecommunications company, delivering innovative solutions that connect millions of Australians every day. As we continue to accelerate our transformation into a technology‑led organisation, data and AI are central to how we create value, drive trust, and unlock new experiences for our customers.
This is a senior executive leadership role responsible for shaping, scaling and governing Optus’ enterprise AI and Data Engineering capability, delivering secure, trusted and high‑impact data products, machine learning and AI solutions at scale.
What You’ll Do
Partnering closely with the EGM Data Office, CIO, and senior leaders across Optus, you will be responsible for:
Leading the AI and Data Engineering Centre of Excellence, establishing trusted, scalable platforms for data, ML and AI across the enterprise.
Owning and evolving Optus’ data, ML and AI engineering strategy, aligned to business priorities, regulatory requirements and the enterprise roadmap.
Driving modern engineering practices across data pipelines, analytics engineering, ML platforms and AI enablement, including CI/CD, automation, observability and infrastructure‑as‑code.
Ensuring security, governance and data quality by design, embedding privacy, compliance and ethical AI principles across the full engineering lifecycle.
Providing thought leadership on emerging AI, ML and data technologies, translating innovation into practical, value‑driven outcomes.
Leading safe and effective adoption of AI technologies, including ML platforms, GenAI and agentic frameworks, to drive productivity and business impact.
Setting engineering standards, patterns and frameworks to enable reusable, performant and cost‑efficient data and AI solutions.
Partnering with business, product and technology leaders to deliver measurable outcomes, not just platforms.
Developing and leading high‑performing teams, building strong capability pathways across data engineering, analytics engineering, ML engineering and AI engineering.
Attracting, developing and retaining top talent, fostering a culture of craftsmanship, continuous learning, accountability and inclusion.
Managing strategic vendor partnerships to accelerate delivery and innovation while ensuring strong governance and value.
What You’ll Bring
10+ years’ experience leading large‑scale data, AI or engineering organisations in complex, enterprise environments.
Proven success building and scaling modern data and AI platforms, ideally in cloud‑based ecosystems.
Strong expertise across data engineering, ML engineering, MLOps and AI enablement, with a clear understanding of end‑to‑end delivery.
Demonstrated ability to set engineering strategy and standards while enabling teams to execute with autonomy and accountability.
Deep understanding of data governance, security, privacy and regulatory obligations, embedded into engineering practices.
Experience leading large, matrixed teams and influencing senior stakeholders at executive level.
Strong commercial and delivery mindset, balancing innovation with reliability, cost and risk.
A leadership style that models Optus values, encourages learning, and drives continuous improvement.
The Good Stuff…
Competitive executive remuneration and employee discounts, including $80 monthly Optus credit and 25% off Optus products.
Flexible working arrangements with a hybrid office/home model.
Vibrant campus facilities including cafes, gym, on‑site childcare and wellbeing services.
Competitive leave benefits, including additional “Connected” days.
Inclusive, carer‑neutral paid parental leave of up to 16 weeks.
Ongoing development through Optus U and industry‑aligned learning opportunities.
Wellbeing support with free, confidential counselling services available 24/7.
A genuinely inclusive culture where diversity, belonging and individuality are valued.
At Optus, we’re strengthened by our differences. We’re committed to creating an inclusive recruitment process and encourage applications from people of all backgrounds. If you need adjustment or support throughout the process, our Accessible Recruitment team is here to help.
The minimum salary is $140K and the max salary is $140K.
$140K/yr (Glassdoor Est.)
Sydney
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