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Senior Engineer, Smart Manufacturing & AI Innovation Lead
Career Insights for Manufacturing Engineer (General)
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What they do
A Manufacturing Engineer uses technology and engineering to help companies and organizations manufacture products with efficient use of time, resources, and energy.
$88,607 / year median in Kansas
+2% projected growth
Job Description
US-Nationwide- FIELD Full time 20185456 Position Summary The Innovation Lead - Manufacturing will drive the adoption and scaling of Artificial Intelligence (AI) and Smart Manufacturing capabilities across Cardinal Health Manufacturing locations. This role is responsible for identifying high-value business opportunities, translating them into practical smart solutions, and partnering with cross-functional teams to deliver measurable outcomes. The position serves as a strategic bridge between manufacturing, engineering, data, and technology teams, ensuring smart manufacturing initiatives are aligned with business priorities and enterprise standards. The role also champions AI capability development across the organization by fostering a community of practice, following governance frameworks, and enabling sustainable adoption of AI technologies. Responsibilities + Define a smart manufacturing transformation roadmap by identifying and prioritizing high-value use cases that align with business objectives and operational priorities. + Own and maintain a manufacturing AI initiative portfolio, overseeing the lifecycle of solutions from ideation through deployment, scaling, monitoring, and continuous optimization. + Lead the delivery of AI and automatization 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 smart manufacturing solutions. + Embrace corporate 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 smart manufacturing opportunities, risks, and emerging capabilities. + Develop and continuously improve smart manufacturing playbooks, standards, best practices, and operating models that accelerate solution delivery and adoption. + Track and communicate business value realized through smart manufacturing initiatives, ensuring alignment with manufacturing priorities and executive stakeholder expectations. + Monitor To view full details and how to apply, please login or create a Job Seeker account