Director, R&D Operations - Advanced Optics Technologies

Director, R&D Operations - Advanced Optics Technologies

Alcon is looking to hire a Director, R&D Operations - Advanced Optics Technologies, that will be an operations leader within Advanced Optics Technologies (AOT). This role is critical to advancing AOT’s mission to deliver innovative optical technologies for optical solutions for vision and integrated optical metrology systems.

This role is on-site in our Fort Worth, Texas location and a typical day would include:

• Lead AOT operational rhythm, including planning, resourcing, portfolio prioritization, and governance processes.
• Manage and optimize the AOT ideation and innovation pipeline aligned with business priorities.
• Drive cross-functional alignment across optical engineering, vision science, metrology, and product development teams.
• Partner with leadership to define and execute strategic initiatives and technology roadmaps.
• Support governance forums and contribute to executive-level decision-making.
• Drive process optimization and operational excellence initiatives.
• Develop and mentor managers and senior engineers.
• Build relationships with internal leadership and external stakeholders (e.g., KOLs, scientific leaders)

Experience

• Deep expertise in optical engineering, vision science, or related field (IOL and/or CL development preferred).
• Experience leading cross-functional R&D teams and multi-site operations.
• Ability to define and execute strategies aligned with business objectives.
• Experience in portfolio management, resource allocation, and prioritization.
• Understanding of regulatory frameworks (FDA, GxP) in medical devices.
• Experience engaging external stakeholders including KOLs and advisory boards.
• Strong track record of talent development and leadership coaching.
• Experience leading implementation of AI-enabled research programs (e.g., defining use cases, selecting tools/partners, change management, and scaling adoption across R&D teams).
• Ability to translate research and business objectives into roadmaps, success metrics, and governance (data quality, model risk, validation, and compliance).
• Working knowledge of machine learning/analytics workflows and data strategy (experimental data pipelines, MLOps, rep