Your Job We are seeking a highly collaborative, value-driven and experienced individual to join the Molex Digital Data & AI capability as AI Strategy and Leader working in Data and AI organization. This is a highly visible, strategic and hands-on leadership role that will oversee innovation, development and delivery of applied and agentic AI solutions at Molex. Leading a multifaceted team, you will have end-to-end accountability for AI technology and platform strategy & innovation, project delivery, and talent development. You will be expected to foster a culture of continuous learning, and promote effective collaboration within and outside your group, including functional data scientists, data & AI business partners, data engineering and integration teams. You will establish and execute the vision and roadmap for robust, agile, and compliant AI technology and solutions, ensuring strong governance practices and operational excellence in delivering impactful AI to drive performance to defined business outcomes. This role defines and operationalizes the enterprise AI strategy, architecture, and learning ecosystem in direct support of the company's core business priorities. Our Team Molex is a leading provider of electronic solutions, committed to innovation and excellence. Our team is dedicated to delivering high-quality products and services to our customers worldwide. Join us and be part of a dynamic and forward-thinking organization. What You Will Do • AI Leadership and direction: Provide leadership in developing, maintaining, and governing the AI platform and technology to enable secure, scalable, and compliant AI applications throughout Molex's global operations, spanning Supply Chain, Manufacturing, Product Development, business divisions and supporting capabilities. •

Talent Management:

Lead, mentor and manage a diverse global team of data scientists, AI engineers and architects. Build a pipeline of talent that can take on increasingly complex projects and lead collaboration initiatives (AI Developers Community of Practice (CoP), technical upskilling, peer review, etc.). •

Operations Excellence:

Oversee the delivery lifecycle from requirements discovery, solution design, and through deployment and monitoring of productionized data science and AI applications (MLOps/AIOps). •

AI Technology & Architecture:

Provide architectural assurance for AI initiatives in flight. Review designs for scalability, security, and sustainability. Partner with Enterprise Architecture and Architecture Review Board. Prevent technology fragmentation and sprawl. •

AI Governance:

Lead and champion best practices in AI governance, stewardship, and quality, ensuring compliance with regulatory and organizational standards (e.g., GDPR, CMMC, PIPL, responsible use of AI etc.) as well as

AI FINOPS.

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Partnership and Literacy:

Foster partnerships with digital and technology leaders, and external collaborators to accelerate the AI enabled ...