AI Product & Enablement Lead — Drive Adoption & Value

AGL Energy Limited; Melbourne; Hybrid; AUD 110,000 - 170,000; Full time

Job summary

AGL Energy Limited in Melbourne is seeking an AI Product & Enablement Lead for a 12-month fixed-term role. You will partner with users to identify high-value AI opportunities and translate them into prioritized initiatives ready to design, build and adopt.

Based in Melbourne, you will interview, map workflows, define value and success measures, and create artefacts for users, leaders and engineers while developing education materials to support responsible AI adoption.

Qualifications

• Demonstrated experience in product discovery, business analysis or related role.
• Understanding of AI capabilities, risks and responsible adoption considerations.
• Workshop facilitation and process-mapping skills to turn needs into clear problems.

Responsibilities

• Plan and conduct interviews, workshops, surveys to understand current workflows.
• Document end-to-end workflows, data flows and dependencies.
• Assess AI usage, user maturity, pain points and unmet needs.
• Define value, success measures and adoption requirements for AI opportunities.
• Create current- and future-state artefacts for users and engineers.
• Develop education materials to help users understand AI use.
• Support pilots and releases with communications and adoption activities.
• Research AI market developments and make concise recommendations.
• Maintain a transparent pipeline of AI opportunities from discovery to adoption.

Skills

Product discovery

Business analysis

AI product management

Change management

Stakeholder engagement

Workshop facilitation

Tools

Open-source libraries awareness

Job description

AGL Energy Limited in Melbourne is seeking an AI Product & Enablement Lead for a 12-month fixed-term role. You will partner with users to identify high-value AI opportunities and translate them into prioritized initiatives ready to design, build and adopt.

Based in Melbourne, you will interview, map workflows, define value and success measures, and create artefacts for users, leaders and engineers while developing education materials to support responsible AI adoption.