Virgin Australia51 followers7 jobs

AI Transformation Lead

Mid levelFull-timeHybridBrisbane QLD, AustraliaPosted 6 months agoVerified 8 hours ago
Pending fitX of Y criteria met

About the job

As the AI Transformation Lead at Virgin Australia, you will play a crucial role in embedding AI into business processes and workflows. Your work will significantly impact the organisation by ensuring AI adoption delivers measurable results. The team thrives on collaboration, diversity, and a commitment to customer experience, making it a vibrant place to grow and innovate.

Meet the team

About the company

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You'll be responsible for

🔍

Identifying and shaping AI use cases

Collaborating with business Subject Matter Experts (SMEs) to identify and develop AI use cases that drive value.
🔄

Redesigning workflows for human-AI collaboration

Creating efficient workflows that enhance collaboration between humans and AI systems.
📈

Leading change management initiatives

Driving training and change management efforts to ensure successful adoption of new AI-driven processes.

Key criteria

🎓

Bachelor's degree or equivalent experience

Possess a degree in Business, Information Systems, or Digital Transformation.

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🤖

Strong understanding of AI concepts

Demonstrated knowledge of modern AI technologies like LLMs and prompting strategies.

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📈

5+ years in technology-enabled transformation

Experience delivering digital products in complex organisations.

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A meaningful career starts with a match

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5 criteria for this job
Bachelor's degree or equivalent experience
Possess a degree in Business, Information Systems, or Digital Transformation.

View

Strong understanding of AI concepts
Demonstrated knowledge of modern AI technologies like LLMs and prompting strategies.

View

5+ years in technology-enabled transformation
Experience delivering digital products in complex organisations.

View

Proven stakeholder engagement skills
Ability to effectively communicate and collaborate with diverse teams.

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Familiarity with compliance and governance
Understanding of data privacy and operational resilience requirements.

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