2 weeks ago

AI Transformation Lead - Supply Chain

Resmed

Sydney

2 weeks ago

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The AI Transformation Lead – Supply Chain will drive AI adoption across Resmed's Supply Chain team, identifying high-value opportunities and partnering with cross-functional teams to deliver measurable outcomes. This role requires 5+ years of experience leading AI or digital transformation initiatives within supply chain or related domains.

AI-enabledOn-siteFull-timeSeniorArtificial IntelligenceMachine Learning

AI Transformation Lead - Supply Chain

Apply

AI-enabledOn-siteFull-timeSeniorArtificial Intelligence

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

On-site

Experience Required

5 years

Employment Type

Full-time

Experience Level

5+ years leading AI, digital transformation, advanced analytics, automation, or technology-enabled business initiatives within supply chain, operations, manufacturing, or related domains.

Core Qualifications

Technical (Must-have)

Artificial IntelligenceMachine LearningGenerative AIIntelligent AutomationSupply Chain ManagementDigital TransformationAdvanced AnalyticsStakeholder ManagementChange ManagementGovernance FrameworksCommunity of PracticeData QualityData GovernanceProject ManagementCross-functional Collaboration

Soft Skills

LeadershipFacilitationStakeholder ManagementCommunicationCollaborationProblem SolvingAdaptabilityContinuous Improvement

Preferred Qualifications

Technical (Nice-to-have)

Enterprise AI Centers of ExcellenceInnovation TeamsDigital Transformation ProgrammesLeading AI or Data Science Teams

Key Responsibilities

•Define a supply chain AI transformation roadmap by identifying and prioritizing high-value use cases.
•Own and maintain a supply chain AI initiative portfolio, overseeing the lifecycle of solutions.
•Lead the delivery of AI pilot projects and proofs of concept.
•Provide expertise in deploying AI, machine learning, generative AI, and automation solutions.
•Partner with data, analytics, and business teams to improve data quality, accessibility, and governance.
•Establish and maintain AI governance frameworks, guardrails, and responsible AI practices.
•Drive stakeholder engagement, change management, and value realization activities.
•Develop and continuously improve AI playbooks, standards, best practices, and operating models.
•Build and facilitate an AI community of practice through workshops, training, knowledge-sharing sessions.
•Track and communicate business value realized through AI initiatives.
•Monitor emerging AI technologies, industry trends, and best practices.
•Collaborate with enterprise architecture and technology teams to evaluate AI platforms and tools.
•Foster strong cross-functional collaboration by building trusted relationships.
•Establish and embed consistent ways of working, governance, and delivery practices.

AI TransformationSupply ChainMachine LearningGenerative AIDigital TransformationLeadershipSydneyOn-siteFull-timeSenior

Core Qualifications

Technical (Must-have)

Soft Skills

LeadershipFacilitationStakeholder ManagementCommunicationCollaborationProblem SolvingAdaptabilityContinuous Improvement

Key Responsibilities

•Define a supply chain AI transformation roadmap by identifying and prioritizing high-value use cases.

•Own and maintain a supply chain AI initiative portfolio, overseeing the lifecycle of solutions.

•Lead the delivery of AI pilot projects and proofs of concept.

•Provide expertise in deploying AI, machine learning, generative AI, and automation solutions.

•Partner with data, analytics, and business teams to improve data quality, accessibility, and governance.

•Establish and maintain AI governance frameworks, guardrails, and responsible AI practices.

•Drive stakeholder engagement, change management, and value realization activities.

•Develop and continuously improve AI playbooks, standards, best practices, and operating models.

•Build and facilitate an AI community of practice through workshops, training, knowledge-sharing sessions.

•Track and communicate business value realized through AI initiatives.

•Monitor emerging AI technologies, industry trends, and best practices.

•Collaborate with enterprise architecture and technology teams to evaluate AI platforms and tools.

•Foster strong cross-functional collaboration by building trusted relationships.

•Establish and embed consistent ways of working, governance, and delivery practices.