Join the change. Electrify your future!
We've been proudly Aussie since 1837, always finding new ways to innovate in energy and essential services. Now, we're moving towards a sustainable future through electrification and investing in renewable energy—and we’d like you to join us. Whether you're on-site, in the office, or somewhere in between, you'll find opportunities to grow your career here. You'll work with a team that's passionate about powering Australian lives, in a culture that values inclusivity, respect, and learning. Help us create a cleaner energy future, and we’ll back you every step of the way as you build your career.
Join the change. Electrify your future.
About the role
At AGL, we're reimagining how data and AI can transform the way we serve our customers, support Australia's energy transition, and deliver value across our business. As we continue to invest in modern data platforms, advanced analytics, AI and GenAI capabilities, we're seeking a Principal Data & AI Architect to provide strategic leadership across our enterprise landscape.
This is a rare opportunity to shape AGL's Data & AI architecture direction, working closely with senior business and technology leaders to define the frameworks, platforms and guardrails that will enable trusted, scalable and business-led outcomes. You'll play a critical role in simplifying complexity, influencing enterprise investment decisions, and ensuring the safe and responsible adoption of modern Data & AI capabilities across the organisation.
What You'll Be Doing
Define and lead AGL's enterprise Data & AI architecture strategy across data platforms, analytics, AI/ML, GenAI, data products and integration services.
Establish architecture standards, reference architectures and governance frameworks that enable secure, scalable and reusable solutions.
Partner with senior business and technology leaders to translate strategic priorities into architecture roadmaps, investment decisions and business outcomes.
Lead architecture for complex Data & AI initiatives, ensuring alignment with enterprise platforms, business capabilities and responsible AI practices.
Provide expert guidance to senior stakeholders by translating technical concepts into clear business opportunities, risks and recommendations.
Strengthen governance across data quality, lineage, metadata, privacy, security, stewardship and AI model management.
Drive platform and capability investment decisions by identifying opportunities for increased productivity, reuse and business value.
Coach and mentor architects, engineers and delivery teams, uplifting enterprise architecture capability and modern Data & AI practices.
Monitor emerging technologies and industry trends, assessing how new capabilities can be leveraged across AGL.
What You'll Bring
Extensive experience leading enterprise architecture, data, analytics and AI transformation programs within large, complex organisations.
Deep expertise across modern Data & AI technologies, including lakehouse architectures, data products, AI/ML, GenAI, Databricks, Microsoft Fabric and Azure data services.
Strong knowledge of data governance, privacy, security, model governance and enterprise architecture standards, with the ability to simplify complexity and drive platform reuse.
Proven experience developing enterprise architecture strategies, reference architectures and technology roadmaps.
Strong understanding of modern cloud, integration and security architectures, including API-led, event-driven and identity management patterns.
Experience building and governing enterprise AI capabilities, including MLOps, model lifecycle management, observability and responsible AI controls.
Exceptional stakeholder engagement skills with the ability to influence executives, business leaders and technical teams alike.
Demonstrated success coaching architects, engineers and delivery teams while fostering a collaborative and high-performing culture.
Experience within highly regulated industries such as energy, utilities, financial services or telecommunications will be highly regarded.
Relevant Azure, Databricks, Data Management or AI certifications would be advantageous.
We’d love to see your applications by Thursday 17th September 2026.
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At AGL, we offer a wide range of benefits including:
Flexible working: AGL offers a range of flexible working options including hybrid working and/or flexible hours.
Staff discounts: Discounted energy, telco and solar plans: Available for employees, family and friends.
Parental Leave: 20 weeks paid leave for the primary carer plus employer-paid superannuation on unpaid leave.
Additional Leave: 1 week ‘Recharge Leave’ for eligible employees and salary sacrifice up to 6 weeks additional leave.
Wellbeing Programs: Partnerships with Medibank and Fitness Passport and on-site health appointments (massage, skin checks etc.).
AGL Shares: Up to $1000 as part of annual Share Reward plan and salary sacrifice up to $5000 of shares.
*Benefits may change over time and vary based on role type and location.
Inclusion at AGL
At AGL, we value diversity and welcome applicants from various backgrounds, including Aboriginal and/or Torres Strait Islander peoples, individuals with disabilities, culturally diverse individuals, and members of the LGBTQ+ community. AGL is dedicated to maintaining a diverse workforce and encourages applicants to share their lived experiences.
We offer reasonable adjustments throughout the recruitment process and respect the privacy of those who choose not to disclose. To learn more visit: www.agl.com.au/careers
AGL is proud to be a WORK180 Endorsed Employer for All Women.
Our pre-employment screening process includes a Nationally Coordinated Criminal History Check and a medical assessment if necessary.
The information provided as part of your application to AGL will be managed in accordance with the AGL Privacy Policy.
AGL does not accept agency submissions unless approval has been granted by a member of the Talent Acquisition team. Candidates submitted by an agency without approval will not be considered by AGL.
Location
Docklands VIC 3008Job Family Group
Information Technology/Digital
