Director, AI, Data Science & Optimization

alcon

Fort Worth (TX)

On-site

USD 180,000 - 260,000

Full time

14 days+
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Benefits offered by this job

Health benefits
Retirement plan
Flexible time off

Job summary

Alcon is seeking a Director of Data Science to lead teams delivering scalable AI, ML, optimization, and analytics solutions across the organization. The role partners with business and technology leaders to enable data-driven decisions and measurable enterprise impact.

The ideal candidate will guide the data science roadmap, foster a high-performing team, and ensure governance, explainability, and value realization across global initiatives in supply chain and beyond.

Qualifications

  • Bachelor's degree or equivalent with extensive experience in data science.
  • Proven leadership of analytics or data science teams.
  • Experience delivering enterprise-scale AI/ML solutions.
  • Strong stakeholder management and executive communication skills.

Responsibilities

  • Define and execute the data science roadmap aligned with ITCI and enterprise priorities.
  • Build, mentor, and develop a high-performing data science organization.
  • Establish best practices for data science, ML, optimization, and AI development.
  • Drive a culture of innovation, accountability, and continuous improvement.
  • Partner with senior leaders to identify high-value opportunities.
  • Lead design, development, deployment, and monitoring of advanced analytics solutions.

Skills

Leadership
Data Science
AI/ML
Python
SQL
Cloud platforms
MLOps
Data governance

Education

Bachelor's Degree

Tools

Python

Job description

Alcon is seeking a Director of Data Science to lead teams delivering scalable AI, ML, optimization, and analytics solutions across the organization. The role partners with business and technology leaders to enable data-driven decisions and measurable enterprise impact.

The ideal candidate will guide the data science roadmap, foster a high-performing team, and ensure governance, explainability, and value realization across global initiatives in supply chain and beyond.

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