Senior Industrial Engineer

Provide advanced analytical decision‑support to Universal Destinations & Experiences leadership by owning complex workforce and operational analyses that inform strategic and tactical decision‑making across a dynamic, guest‑facing environment. This role applies deep industrial engineering, operations research, and advanced analytics expertise to drive sustained improvements in efficiency, service delivery, workforce effectiveness, and financial performance.

The Senior Industrial Engineer operates with a high degree of independence, leads complex analytical efforts end‑to‑end, and serves as a trusted advisor to operational leaders and members of the Senior Leadership Team (SLT). In addition to delivering high‑impact analyses, this role mentors junior engineers, shapes analytical standards, and helps advance analytical maturity across the organization.

• →Independently scope, design, and deliver complex analytical and decision‑support solutions using industrial engineering and business analytics principles. Apply advanced analytical techniques, including statistics, process flow analysis, queuing theory, mathematical optimization, scenario modeling, and prescriptive optimization methods, to evaluate trade‑offs and recommend data‑driven actions.
• →Own labor planning, workforce utilization, budgeting, scheduling, and productivity models for assigned business areas. Balance cost efficiency with service levels, guest experience outcomes, and operational constraints. Anticipate downstream impacts of recommendations and proactively assess risks, sensitivities, and alternatives.
• →Partner directly with operational leaders and SLT stakeholders, operating with an internal consulting mindset to frame decision questions, guide trade‑off discussions, and influence outcomes through clear, credible analytical insights.
• →Lead the development and evolution of scalable, production‑ready analytical solutions. Design and oversee analysis‑ready datasets and analytical workflows by integrating data from multiple enterprise systems and ensuring data quality, consistency, and governance.
• →Apply advanced trend analysis, forecasting techniques, and statistical methods to assess performance drivers and emerging risks. Identify opportunities to automate, standardize, and scale analytics by productionizing metrics, models, and decision logic using modern analytics and productivity tools within cloud‑based platforms.
• →Serve as a thought leader for analytical best practices, reusable assets, and solution design standards within the Business Analytics & Industrial Engineering team.
• →Mentor and support Associate and Industrial Engineers by providing technical guidance, reviewing analytical work, and coaching on problem structuring, modeling approaches, and communication of insights. Contribute to onboarding, knowledge sharing, and continuous improvement of analytical standards across the team.
• →Lead analytical workstreams on cross‑functional initiatives, coordinating with operations, finance, technology, and other partners. Facilitate analytical working sessions and contribute to shaping broader analytical roadmaps and priorities.
• →Develop and deliver clear, compelling analytical narratives for senior and executive audiences. Lead the creation of executive‑level presentations, dashboards, and materials that translate complex analyses into insights that inform strategic and operational decisions.
• →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.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilities (KSAs) required.

• Advanced proficiency in SQL and programming tools (Python, R), with demonstrated ability to independently develop complex queries, analytical workflows, and reusable code bases.
• Proven experience owning and delivering production‑ready analytics and decision‑support solutions, including standardized metrics, governed datasets, automated workflows, and sustained operating models.
• Demonstrated expertise applying optimization and operations research techniques in resource‑constrained, variable‑demand service environments.
• Experience directly influencing operational and strategic decisions with senior and executive stakeholders, balancing efficiency, risk, service levels, and guest or customer experience outcomes.
• Strong experience with business intelligence and visualization platforms (Power BI, Tableau) and cloud‑based data platforms (e.g., Snowflake, Azure).
• Demonstrated use of modern analytics and productivity tools (e.g., Microsoft Copilot, ChatGPT) to improve analytical efficiency, quality, documentation, and scalability.
• Exceptional analytical judgment, systems thinking, and problem‑solving skills, with the ability to structure ambiguous problems and lead analytical approaches.
• Strong consulting, facilitation, and communication skills, including the ability to clearly influence diverse stakeholder groups.
• Demonstrated experience mentoring junior engineers or analysts and contributing to team capability development.
• Strong project and workstream leadership skills, with the ability to manage multiple complex initiatives simultaneously.
• Willingness to support a 24/7/365 operation, including periods of high demand such as weekends and holidays.
• Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
• Consistent attendance is a job requirement.

• Required: Bachelor’s degree in Industrial Engineering, Operations Research, Management Science, Decision Science, or a closely related field.

• Required: 4–7 years of progressively responsible experience in industrial engineering, analytics, operations research, or a related analytical role.
• Preferred: Experience leading or owning analytical work in hospitality, theme park, resort, retail, dining, entertainment, airline, cruise, or other high‑volume service environments with complex demand patterns and operating constraints

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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