Manager, Data Science and Operations Research (Workforce Management Analytics)

Universal Orlando Resort believes in-person collaboration is key to our success. Many of our Team Members work in a hybrid capacity, contributing from the workplace a minimum of three days per week. There are also roles that require being on-site full time. Limited remote opportunities may be available within specific departments. You’ll learn more about this during the recruitment process.

JOB SUMMARY:

Lead a team that formulates and applies analytical approaches in the development and application of forecasting and optimization models across global UPR locations in the areas of workforce planning, demand forecasting, generating OCF, operations research, and maximizing guest throughput and experience. Deliver findings with visual tools and presentations that inform and inspire internal stakeholders to make better business decisions. Support and guide Analysts and Data Scientists on the use of advanced model development methodologies and enhance system technologies to support the business.

Position-Specific Duties:  BAIE - Labor and Workforce Management Analytics

As a Team Member of Universal's Business Analytics and Industrial Engineering team, you will work with business partners in multiple theme park operational areas, helping to ensure our Workforce and Labor needs are met by focusing on forecasting labor demand and optimization of staffing.  You will also partner with Finance partners, other Data Science teams, and HR partners as needed, to ensure our staffing procedures are allocated and optimized through all levels of demand, seasonality's, employment classification statuses, etc.

MAJOR RESPONSIBILITIES:

• Lead a team of analysts and/or Data Scientists and individually participate in formulating and applying advance analytical approaches in the development of workforce planning, forecasting, operations research and optimization models across all divisions and parks.
• Support and guide Analysts and Data Scientists on the use of advanced model development and optimization techniques across other team verticals and other parks.
• Prepare and deliver OCF generating recommendations and strategies to improve workforce planning and operations research across UPR.
• Analyze system capabilities and recommend and lead changes and/or updates and testing to ensure technology can support future initiatives.
• Establish key performance tracking metrics and monitor ongoing performance; validate and optimize workforce planning optimization models and process assumptions and settings on an ongoing basis.
• Add, test, and adjust new model enhancements to improve the accuracy of recommendations.
• Troubleshoot forecast and optimization anomalies with workforce planning team through the use of statistical and mathematical optimization models.
• Develop testing to explain and or reduce these anomalies.
• Understands and actively participates in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training and team member involvement activities.
• Performs other duties as assigned.

EDUCATION:

• Bachelor’s and Master’s degree is required.
• Ph.D. is preferred. MS and Ph.D. degrees in Industrial Engineering, Operations Research, Management Science, Mathematics, Statistics or equivalent.

EXPERIENCE:

• Minimum of 7+ years of experience in the field or in a related area.

ADDITIONAL INFORMATION:

• Must have proficiency with data mining, mathematics, machine learning, and statistical analysis
• Must have experience and proficiency using machine learning platforms (e.g., AzureML), process automation platforms (e.g., MS Power Automate, etc.), application development platform (e.g., Power Apps, etc.), data querying and scripting/programming tools (e.g., SQL, Python, etc.), business intelligence/data visualization software tools (e.g., Power BI, Tableau, etc.), and statistical modeling software applications (e.g., R, etc.)
• Knowledge of data engineering concepts (e.g., data pipelines, data lakes, orchestration) and mathematical optimization (e.g., linear/integer programming, constraint modeling) is a strong plus
• Proven strong PC skills including spreadsheets, databases, and presentation graphics software

Your talent, skills and experience will be rewarded with a competitive compensation package.

Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means. 

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