Manager- Business Data Solutions

EssilorLuxottica; Lake Forest (CA); On-site; USD 108,000 - 157,000; Full time

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

JOB DESCRIPTION

If you’ve worn a pair of glasses, we’ve 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 laboratories. In 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 200,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry. Discover more by following us on LinkedIn!

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

• Bachelor's 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

• DevOps
• Smart Sheets

Pay Range:108,009.15 -157,468.93

This posting is for an existing vacancy within our business.Employee pay is determined by multiple factors, including geography, experience, qualifications, skills and local minimum wage requirements. In 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 844-303-0229 (be sure to provide your name, job id number, and contact information so that we may follow up in a timely manner) or email [e-mail]

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.