Sr Manager, Cloud Data Engineering

Universal Orlando Resort; Orlando (FL); On-site; USD 140,000 - 190,000; Full time

Job summary

Universal Orlando Resort is seeking a Senior Manager, Enterprise Data & BI to lead the design, engineering, and operation of a global data strategy that supports Universal Destination & Experiences (UDX). You will align with Digital & Technology, NBCUniversal O&T, and business stakeholders to ensure data requirements are understood and executed effectively.

You will build and mentor a team of salaried ICs and contractors, partner with architects and engineers, oversee data warehousing,

Qualifications

• Bachelor’s degree required in data science, statistics, computer science, mathematics, engineering, or related field.
• 10+ years of leadership experience managing teams of four or more resources.
• Deep experience with data structures, modeling, and cloud platforms (AWS, Azure).
• Proficient with data profiling, mapping, cleansing, and quality assurance.
• Experience with data visualization tools (Tableau, Power BI) and data cataloging tools (Collibra).
• Experience with databases such as Teradata, SQL Server, Oracle; and ETL/Data Quality tools (DataStage/QualityStage, Informatica PowerCenter).
• Experience with reporting/analysis tools (MicroStrategy, Cognos, Business Objects, Tableau).
• Familiarity with data modeling tools (Erwin, Embarcadero) and EDW concepts.
• Strong documentation and presentation skills; able to convey complex concepts to diverse audiences.
• Knowledge of systems development and project management methodologies; ability to translate business needs into data solutions.
• Familiarity with Unica and statistical tools (SPSS, SAS) and big data concepts.

Responsibilities

• Provide leadership for a team of salaried technical ICs and contractors in planning, development, and maintenance of data management systems.
• Collaborate with Data Architects, Data Engineers, and Data Testers to ensure solutions meet business objectives.
• Coordinate with business users during project implementations and serve as primary data contact for questions and issues.
• Lead meetings with executives and stakeholders, updating on status, risks, and changes.
• Establish and evolve best practices in data engineering, analytics, and support.
• Adhere to Environmental, Health & Safety responsibilities per UO policy and training.
• Perform other duties as assigned.

Skills

Leadership

Team management

Stakeholder communication

Project management

Data governance

Customer relationship

Documentation

Education

Bachelor's degree in data science, statistics, computer science, mathematics, engineering, or related field

Tools

AWS

Azure

Tableau

Power BI

Collibra

IBM DataStage/QualityStage

Informatica PowerCenter

Teradata

SQL Server

Oracle

Erwin

Embarcadero

Unica

SPSS

SAS

Job description

The Senior Manager, Enterprise Data & BI will provide vision and leadership for the design, engineering, operations, and maintenance of a comprehensive strategy and roadmap for enterprise data supporting Universal Destination & Experiences (UDX) globally. This role will lead enterprise data projects, working closely and aligning with partner teams including Digital & Technology, NBCUniversal Operations & Technology, and business stakeholders globally to ensure all enterprise data requirements are understood and supported effectively and efficiently. The position promotes collaboration by partnering with other leaders within and across divisions to share strategies and best practices to improve efficiency.

Major Responsibilities

• Provide leadership responsibilities for a team of salaried technical individual contributors and contractors; responsible for planning, development, implementation, support, maintenance and enhancements of data management systems.
• Work closely with Data Architects, Data Engineers, and Data Testers to ensure data solutions are aligned with business objectives.
• Coordinate with business users during project implementations and continue to serve as a point of contact for future data questions and issues.
• Facilitate and lead meetings with end users at all levels (VP, Director, Managers, and Subject Matter Experts), keeping management and business stakeholders informed of critical issues, project status, changes, etc.
• Define, establish and evolve best practices in data engineering, data analytics, and support.
• Understand and actively participate in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training and team member involvement activities.
• Perform other duties as assigned.

Education

Bachelor’s degree in data science, statistics, computer science, mathematics, engineering, or related field.

Experience

• 9+ years of prior leadership experience managing teams of four or more resources.
• Deep experience working with data structures, modeling, and cloud platforms (AWS, Azure).
• Deep experience with data profiling, mapping, cleansing, and quality assurance.
• Experience with data visualization tools (Tableau, Power BI) and data cataloging tools (Collibra).
• Experience with one or more databases such as Teradata, SQL Server, Oracle, etc.
• Experience with one or more ETL/Data Quality tools such as IBM’s DataStage/QualityStage, Informatica PowerCenter, etc.
• Experience with one or more reporting/ad-hoc analysis tools such as MicroStrategy, Cognos, Business Objects, Tableau, etc.
• Experience with one or more data modeling tools such as Erwin, Embarcadero, etc.
• Broad experience with data requirements, data modeling concepts, data integration, master data management, metadata management, enterprise data warehousing (EDW) and business intelligence/analytics tools, protocols and practices.
• Demonstrated ability to produce high quality documentation and presentations.
• Strong knowledge of systems development and project management methodologies/processes.
• Able to understand and interpret logical and physical data models.
• Familiarity with customer identification and address standardization processes and tools such as Unica, a plus.
• Familiarity with one or more statistical modeling tools such as SPSS or SAS.
• Familiarity with Big Data concepts, tools, utilities, protocols, and practices.
• Familiarity with cloud computing architectures, protocols, and practices.
• Demonstrated ability for strong customer relationship skills.

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

Universal Orlando is an equal opportunity employer. Universal elements and all related indicia TM & © 2026 Universal Studios. All rights reserved. EOE