Resmed
Ai Transformation Lead – Supply Chain
Overview
The AI Transformation Lead – Supply Chain will drive the adoption and scaling of Artificial Intelligence (AI) capabilities across Resmed's Supply Chain team, identifying high-value business opportunities and translating them into practical AI-enabled solutions.
About Resmed
Resmed creates life-changing health technologies that people love. We’re relentlessly committed to pioneering innovative technology to empower millions of people in more than 140 countries to live happier, healthier lives. Our AI-powered digital health solutions, cloud-connected devices and intelligent software make home healthcare more personalize
Requirements & Eligibility
- Bachelor's degree in supply chain management, Engineering, Computer Science, Data Science, Business, Information Systems, or a related field; advanced degree preferred.
- 5+ years of experience leading AI, digital transformation, advanced analytics, automation, or technology-enabled business initiatives within supply chain, operations, manufacturing, or related domains.
- Strong leadership, facilitation, and stakeholder management skills, with experience leading cross-functional teams, building communities of practice, and driving organizational adoption of new technologies.
- Demonstrated experience successfully deploying AI, machine learning, generative AI, or intelligent automation solutions from concept through production implementation.
- Experience establishing governance frameworks, standards, and controls for AI solutions, while balancing innovation, risk management, and business value.
- Experience building AI adoption frameworks, communities of practice or training programmes initiatives that promote sustainable AI capability development.
Key Responsibilities
- Define a supply chain AI transformation roadmap by identifying and prioritizing high-value use cases that align with business objectives and operational priorities.
- Own and maintain a supply chain AI initiative portfolio, overseeing the lifecycle of solutions from ideation through deployment, scaling, monitoring, and continuous optimization.
- Lead the delivery of AI pilot projects and proofs of concept, partnering with data scientists, engineers, digital teams, and business stakeholders to design, validate and scale solutions.
- Provide expertise in deploying AI, machine learning, generative AI, and automation solutions, ensuring they deliver measurable business outcomes and operational improvements.
- Partner with data, analytics, and business teams to improve data quality, accessibility, and governance required to enable scalable AI solutions.
- Establish and maintain AI governance frameworks, guardrails, and responsible AI practices to ensure compliant, secure, and scalable adoption across the organization.
- Drive stakeholder engagement, change management, and value realization activities, serving as a trusted advisor on AI opportunities, risks, and emerging capabilities.
- Develop and continuously improve AI playbooks, standards, best practices, and operating models that accelerate solution delivery and adoption.
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