Manager- Business Data Solutions

EssilorLuxottica • Oakley, CA

8d

About The Position

This role provides machine learning expertise and strategic input to projects and ongoing operations. It leads critical thinking and strategic planning for design, implements and directs AI/ML initiatives, and helps improve business efficiency through digital strategy. The role also maintains, supports, and upgrades manufacturing reports and dashboards.

The position develops data capabilities and insights for manufacturing and supply chain operations, supports the BI strategy, and leads a team of Business Analysts, Data Scientists, and Data Engineers. It applies experimentation, statistical and predictive modeling, and machine learning to solve complex business problems and improve decision-support systems.

Requirements

• Bachelor's degree in Computer Science, Engineering, Physical Sciences, Statistics, Operations Research, Applied Mathematics and Statistics, or a related discipline.
• 5+ years working in IT, with a thorough understanding of SDLC and Agile development methodology.
• 5+ years of experience in Business Intelligence and Data Science, including data mining, Machine Learning, PLS, PCA, data architecture, data engineering, and Big Data.
• 3+ years of experience as a BI reporting and visualization engineer, including Business Objects and Tableau Administration.
• Experience working in a manufacturing environment.
• Proficiency in one or more programming languages: SQL, Java, C++, Python, or R.
• Proficiency in data analytics, including DOE, statistics, mathematics, probability, test plans, and algorithms, and in robust process improvement approaches such as SPC, Taguchi, and multifactorial analysis.
• Demonstrated experience applying data science methods to real-world data problems.
• Ability to work within and lead cross-functional teams in local and global environments.
• Excellent verbal and written communication, organizational, critical-thinking, and complex problem-solving skills.
• Ability to quickly translate requirements into prototypes and gain business buy-in.
• Proficiency using Microsoft Office.
• Creative, outside-the-box mindset.

Nice To Haves

• Bilingual in Spanish.
• Azure Certification.
• DevOps experience.
• Grafana dashboarding.
• Smart Sheets.

Responsibilities

• Research and evaluate technologies for data visualization, machine learning, and modeling in collaboration with experts.
• Develop and implement databases, data collection systems, and data analytics with the automation digitalization team to optimize efficiency and results quality.
• Directly manage a team of Business Analysts, Data Scientists, and Data Engineers.
• Develop custom models, algorithms, and interactive visualizations to deliver supply chain insights.
• Support and partner in implementing the BI strategy.
• Develop A/B testing frameworks using machine learning techniques.
• Conduct experiments, test hypotheses, perform data mining, and build models to solve complex business problems; apply advanced statistical and predictive modeling techniques to improve decision-support systems.
• Identify and implement applications or processes that could benefit from AI/ML.
• Use data to challenge and reshape understanding of business behavior and performance.
• Develop data structures to support reporting requirements.
• Maintain expert knowledge of department applications, application interfaces, reporting processes, and data capture.
• Ensure accuracy in dashboards and reporting.
• Participate in business unit projects and initiatives as assigned.

Benefits

• Health care.
• Retirement savings.
• Paid time off/vacation.
• Various employee discounts.
• A competitive bonus and/or commission plan may be offered.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager