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Manager- Business Data Solutions

EssilorLuxottica


Job Location:

Oakley, CA - USA

Monthly Salary: Not provided by the employer
Posted: 28 October 2026 (14 hours ago)
Application Deadline: 25 January 2027
Vacancies: 1 Vacancy

Job Summary

Requisition ID:951409
Position:Full-Time
Shift:
Total Rewards:Benefits/Incentive Information

If youve worn a pair of glasses weve already met.

We are a global leader in the design manufacture and distribution of ophthalmic lenses frames and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products such as the Essilor brand with Varilux Crizal Eyezen Stellest and Transitions iconic brands that consumers love such as Ray-Ban Oakley Persol and Oliver Peoples as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences such as Sunglass Hut LensCrafters and Target Optical and leading e-commerce platforms.

Our unique business model and relentless pursuit of operational excellence ensures that consumers everywhere have access to products. Balancing speed efficiency and proximity the Company manages a global supply chain with cutting-edge technology based on centralization for frames and on a capillary network for lens finishing and prescription our dynamic environment fueled by technology and innovation our people have the space to pioneer new solutions.

Oakley is part of EssilorLuxottica. Building on our legacy of innovative market-leading optical technology we manufacture and distribute high performance sunglasses prescription lenses and frames goggles apparel footwear and accessories. Every day at Oakley is a chance to grow go further and achieve more.

Join our global community of over 200000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry. Discover more by following us on LinkedIn!

JOB DESCRIPTION

GENERAL FUNCTION

This role provides first class machine learning and strategic input to projects and ongoing operations; leads critical thinking and strategic planning for design implements and directs AI/ML initiatives and able to get business more efficient with the Digital Strategy. This role is also responsible for maintaining supporting and upgrading reports dashboards in Manufacturing.

MAJOR DUTIES AND RESPONSIBILITIES

  • Research and evaluate new technologies on data visualization machine learning modeling in collaboration with experts
  • Develop and implement databases data collection systems data analytics with the automation digitalization team that optimize efficiency and quality of the results
  • Directly manage a team of Business Analyst Data Scientists Data Engineers
  • Develop custom models algorithms and interactive visualizations to deliver Supply Chain insights with an innovation approach
  • Support and partner on implementing the BI strategy
  • Developing A/B testing frameworks with machine learning techniques
  • Completes experiments tests hypothesis performs data mining and builds models to solve highly complex business problems; applies advanced statistical and predictive modeling techniques to improve on decision support systems
  • Identify and implement applications/processes that could benefit from AI/ML
  • Use data to constantly challenge and reshape our current understanding of business behavior and performance.
  • Develop data structures to support the reporting requirements.
  • Maintain expert knowledge of Department applications and interfaces between applications reporting processes and data capture.
  • Ensure accuracy in dashboarding and reporting
  • Actively participate in business unit projects and/or initiatives as assigned.

BASIC QUALIFICATIONS

  • Bachelors degree in Computer Science Engineering Physical sciences Statistics Operations Research Applied Mathematics and Statistics Or 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 (data mining Machine Learning PLS PCA) Data architect data engineering and Big Data
  • 3 years of experience as BI reporting and visualization engineer Business Objects and Tableau Administration
  • Experience working in a manufacturing environment
  • Proficient with one or more programming languages (SQL Java C Python R) and in Data Analytics (DOE Statistics Math probability test plans algorithms..) and robustness process improvement approaches (SPC Taguchi multifactorial analysis)
  • Demonstrated experience applying data science methods to real-world data problems
  • Ability to work within and lead cross-functional team environments (local and global)
  • Excellent communication (verbal and written) organizational critical thinking complex problem solving
  • Ability to quickly translate requirements to prototype and get business buy- in
  • Proficiency with use of Microsoft Office
  • Creative and an outside-the-box mindset.

PREFERRED QUALIFICATIONS

  • Bilingual (Spanish)
  • Azure Certification
  • DevOps
  • Grafana Dashboarding
  • Smart Sheets

Pay Range:108009.15-157468.93

This posting is for an existing vacancy within our pay is determined by multiple factors including geography experience qualifications skills and local minimum wage addition you may also be offered a competitive bonus and/or commission plan which complements a first-class total rewards package. Benefits may include health care retirement savings paid time off/vacation and various employee discounts.

EssilorLuxottica complies with all applicable laws related to the application and hiring process. If you would like to provide feedback regarding an active job posting or if you are an individual with a disability who would like to request a reasonable accommodation please call the EssilorLuxottica SpeakUp Hotline at (be sure to provide your name job id number and contact information so that we may follow up in a timely manner) or email

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color gender national origin social origin social condition being perceived as a victim of domestic violence sexual aggression or stalking religion age disability sexual orientation gender identity or expression citizenship ancestry veteran or military status marital status pregnancy (including unlawful discrimination on the basis of a legally protected pregnancy or maternity leave) genetic information or any other characteristics protected by law. Native Americans in the US receive preference in accordance with Tribal Law.


Required Experience:

Manager