Director, AI & Data Solutions - Manufacturing

EssilorLuxottica

Lake Forest (CA)

On-site

USD 108,000 - 157,000

Full time

7 days ago
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Job summary

EssilorLuxottica is seeking an experienced AI/BI leader to drive data visualization and ML initiatives across manufacturing operations. You will manage a team of analysts, data scientists, and engineers to deliver actionable supply chain insights and expand the BI strategy with robust reporting.

The role requires expertise in data mining, predictive modeling, and dashboard development using SQL, Python, R, and Tableau, with a strong cross-functional collaboration mindset.

Qualifications

  • Bachelor's degree in CS/engineering or related field.
  • 5+ years IT experience with SDLC and Agile.
  • 5+ years in BI and Data Science (data mining, ML) and data engineering.
  • 3+ years as BI reporting and visualization engineer (Business Objects/Tableau).
  • Experience in manufacturing environments preferred.
  • Proficient in SQL, Java, C++, Python or R; strong analytics mindset.
  • Strong communication and cross-functional leadership abilities.

Responsibilities

  • Lead data visualization and ML projects with cross-functional teams.
  • Develop databases, data collection, and analytics systems for efficiency.
  • Manage a team of analysts, data scientists, and data engineers.
  • Build models and interactive visuals to deliver supply chain insights.
  • Support and implement BI strategy and reporting accuracy.
  • Create A/B testing frameworks with ML techniques.
  • Experiment, test hypotheses, and apply predictive modeling.
  • Identify applications that benefit from AI/ML technologies.
  • Use data to challenge and reshape business understanding.
  • Develop data structures to meet reporting needs.

Skills

SQL
Java
C++
Python
R

Education

Bachelor's degree in Computer Science or related field

Tools

Business Objects
Tableau Administration
Big Data
Data Science

Job description

EssilorLuxottica is seeking an experienced AI/BI leader to drive data visualization and ML initiatives across manufacturing operations. You will manage a team of analysts, data scientists, and engineers to deliver actionable supply chain insights and expand the BI strategy with robust reporting.

The role requires expertise in data mining, predictive modeling, and dashboard development using SQL, Python, R, and Tableau, with a strong cross-functional collaboration mindset.

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