Enterprise Data & BI Strategy Lead

Universal Studios; Orlando (FL); On-site; USD 150,000 - 210,000; Full time

Job summary

Universal Orlando Resort is seeking a Senior Manager, Enterprise Data & BI to lead the design, engineering, operations, and maintenance of a global data strategy and roadmap. You will guide enterprise data projects and partner with Digital & Technology, NBCUniversal, and business stakeholders to ensure data requirements are understood and delivered effectively.

You will oversee a team of salaried and contractor resources, drive best practices in data engineering and analytics, and collaborate

Qualifications

• Bachelor’s degree in data science, statistics, CS, math, engineering, or related field.

Responsibilities

• Provide leadership for data management systems across enterprise.
• Collaborate with Data Architects/Engineers/Testers to align solutions with business goals.
• Coordinate with business users during implementations and serve as data contact.
• Lead meetings with executives and stakeholders; report on status and issues.
• Establish best practices in data engineering, analytics, and support.
• Own environmental, health & safety responsibilities per policy.
• Perform other duties as assigned.

Skills

Leadership

Stakeholder management

Data governance

Communication

Project management

Education

Bachelor's degree in data science, statistics, CS, math, engineering

Tools

Tableau

Power BI

Collibra

IBM DataStage/Quality Stage

Informatica PowerCenter

MicroStrategy

Cognos

Business Objects

Erwin

Embarcadero

Teradata

SQL Server

Oracle

AWS

Azure

Job description

Universal Orlando Resort is seeking a Senior Manager, Enterprise Data & BI to lead the design, engineering, operations, and maintenance of a global data strategy and roadmap. You will guide enterprise data projects and partner with Digital & Technology, NBCUniversal, and business stakeholders to ensure data requirements are understood and delivered effectively.

You will oversee a team of salaried and contractor resources, drive best practices in data engineering and analytics, and collaborate