Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Manager- Business Data Solutions
Foothill Ranch, CA, US, 92610
Actively hiring, first seen by us 9 days ago- Pay
- Pay not listedSimilar roles state $154K–$225K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDirectly manage a team of business analysts, data scientists and data engineers
Develop custom models, algorithms and interactive visualizations for supply chain insights
Maintain and upgrade reports and dashboards, and ensure their accuracy
Identify and implement processes that could benefit from AI/ML
Support and partner on implementing the BI strategy
From the employer’s posting
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
Ensure accuracy in dashboarding and reporting
Identify and implement applications/processes that could benefit from AI/ML
Support and partner on implementing the BI strategy
What you’ll bring
All qualificationsCore experience
- 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)
Qualification wording
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)
Education & alternatives
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
Posting record
Report an errorActively hiringFirst seen by us 9 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 26, 20269 days ago
- Recorded sightings
- 44
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 9
Similar jobs usually come down between day 7 and day 54.
At EssilorLuxottica Group, jobs usually come down by about day 51.
From 8,003 similar postings that came down, and 24 of EssilorLuxottica Group’s. Coming down is not always a hire.
EssilorLuxottica Group is hiring
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C++
- Java
- Python
- R
- SQL
- Azure
- Grafana
- Tableau
Where the posting names them
- 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
- Bilingual (Spanish) - Azure Certification - DevOps
- DevOps - Grafana Dashboarding - Smart Sheets
- 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
Your next step
Complete your application on careers.essilorluxottica.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
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Already applied? Track this application
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
Requisition ID: 951409
Position:Full-Time
Shift:
Total Rewards: Benefits/Incentive Information
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!
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
- 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
- Bilingual (Spanish)
- Azure Certification
- DevOps
- Grafana Dashboarding
- 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 EmployeeRelations@luxotticaretail.com
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.
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Foothill Ranch, CA, US, 92610
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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 EmployeeRelations@luxotticaretail.com 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.