Head of AI Strategy

Lumentum•San Jose, CA

11d

About The Position

Lumentum is seeking a visionary and execution-oriented Head AI Strategy to lead the company's AI transformation journey. This role will be pivotal in shaping and executing a focused, enterprise-wide AI strategy aligned with business priorities and value realization. The ideal candidate brings deep expertise in artificial intelligence and machine learning (AI/ML), especially in Convolutional Neural Networks (CNNs) , coupled with proven experience in driving cross-functional AI adoption in complex, global environments.

Requirements

Advanced degree (Master’s or PhD) in Computer Science, Engineering, or a related quantitative field.
5+ Years in Enterprise Level Program Management
Strong understanding of AI governance, ethical AI, and value-led digital transformation.

Nice To Haves

Experience in advanced manufacturing sectors.
Prior work with enterprise knowledge management, internal GPT implementations, or AI-driven operational excellence.

Responsibilities

Define and implement an enterprise-wide AI roadmap focused on efficiency, innovation, and decision-making quality.
Lead AI initiatives using Lumentum’s use case prioritization framework with measurable benefits in financial impact, customer experience, and risk reduction.
Establish and grow the AI Center of Excellence and cross-functional teams to foster scalable and repeatable AI innovation.
Develop AI investment frameworks, governance models, and risk management policies consistent with a $5M+ multi-year roadmap.
Oversee the architecture and deployment of AI/ML solutions with a strong emphasis on Visual AI , CNN-based image inspection , predictive analytics , and custom GPT frameworks .
Drive integration of GenAI solutions (e.g., ChatGPT) into business workflows by connecting them with internal knowledge repositories.
Establish scalable AI infrastructure and pipelines, including CI/CD for ML models, monitoring, retraining, and explainability.
Collaborate with R&D, manufacturing, supply chain, and customer operations to embed AI into products, infrastructure, and processes.
Hire and lead AI/ML specialists and developers, enabling agile execution of high-impact initiatives.
Partner with manufacturing and R&D leads to accelerate domain-specific adoption.
Serve as the primary internal champion for AI innovation, fostering collaboration and knowledge sharing across business units.