Enterprise AI Transformation Leader

World Vision International

Melbourne

On-site

AUD 180,000 - 240,000

Full time

43 hours ago
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Benefits offered by this job

World Vision Australia employee perks

Job summary

World Vision Australia is seeking an AI Transformation Lead to establish and drive the enterprise AI agenda, enabling responsible, scalable AI adoption across the organization. You will lead the development of an AI strategy, governance framework, and adoption roadmap while prioritising high-impact initiatives that deliver measurable value.

You will partner with Technology, Data, Risk, Privacy, Legal, Finance and People & Culture to ensure governance, risk controls and responsible AI practices

Qualifications

  • Experience shaping enterprise AI strategies and operating models.
  • Hands-on leadership of AI-enabled transformation initiatives from discovery to adoption.
  • Strong understanding of responsible AI, including ethics, privacy and governance.
  • Experience collaborating with Technology and Data teams on solution options and risk management.

Responsibilities

  • Develop and deliver an enterprise AI strategy and roadmap aligned with priorities.
  • Establish governance frameworks, decision-making processes and prioritisation criteria.
  • Advise senior leaders on AI opportunities, risks and investment decisions.
  • Coordinate AI enablement across Technology, Data, Risk, Privacy, Legal, Finance and People & Culture.

Skills

Enterprise AI strategy
Governance
Stakeholder engagement
Generative AI
Responsible AI

Education

AI/Data Science/Computer Science/IS/Business

Job description

World Vision Australia is seeking an AI Transformation Lead to establish and drive the enterprise AI agenda, enabling responsible, scalable AI adoption across the organization. You will lead the development of an AI strategy, governance framework, and adoption roadmap while prioritising high-impact initiatives that deliver measurable value.

You will partner with Technology, Data, Risk, Privacy, Legal, Finance and People & Culture to ensure governance, risk controls and responsible AI practices

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