Senior Manager, IT – Enterprise Data & BI

Universal Orlando•Orlando, FL

11d

About The Position

The Senior Manager, Enterprise Data & BI provides vision and leadership for the design, engineering, operations, and maintenance of a comprehensive enterprise data strategy and roadmap supporting Universal Destination & Experiences (UDX) globally. The role leads enterprise data projects and works with partner teams, including Digital & Technology, NBCUniversal Operations & Technology, and global business stakeholders, to ensure enterprise data requirements are understood and supported effectively and efficiently. It promotes collaboration and the sharing of strategies and best practices across divisions to improve efficiency. The role provides leadership for salaried technical individual contributors and contractors, and oversees the planning, development, implementation, support, maintenance, and enhancement of data management systems. It works closely with Data Architects, Data Engineers, and Data Testers to align data solutions with business objectives; coordinates with business users during implementations and remains a contact for future data questions and issues; and facilitates meetings with end users at all levels. The Senior Manager keeps management and business stakeholders informed about critical issues, project status, and changes, and defines and evolves best practices in data engineering, analytics, and support. The role also requires understanding and active participation in Environmental, Health & Safety responsibilities under established UO policies, procedures, training, and team member involvement activities. Other duties may be assigned.

Requirements

Bachelor’s degree in data science, statistics, computer science, mathematics, engineering, or a related field.
9+ years of leadership experience managing teams of four or more resources.
Deep experience with data structures, data modeling, and cloud platforms such as AWS or Azure.
Deep experience with data profiling, mapping, cleansing, and quality assurance.
Experience with data visualization tools such as Tableau or Power BI and data cataloging tools such as Collibra.
Experience with one or more databases, such as Teradata, SQL Server, or Oracle.
Experience with one or more ETL or data quality tools, such as IBM DataStage/QualityStage or Informatica PowerCenter.
Experience with one or more reporting or ad hoc analysis tools, such as MicroStrategy, Cognos, Business Objects, or Tableau.
Experience with one or more data modeling tools, such as Erwin or Embarcadero.
Broad experience with data requirements, data modeling concepts, data integration, master data management, metadata management, enterprise data warehousing, business intelligence and analytics, and related tools, protocols, and practices.
Demonstrated ability to produce high-quality documentation and presentations.
Strong knowledge of systems development and project management methodologies and processes.
Ability to understand and interpret logical and physical data models.
Demonstrated strong customer relationship skills.

Nice To Haves

Familiarity with customer identification and address standardization processes and tools such as Unica.
Familiarity with 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.

Responsibilities

Provide leadership for a team of salaried technical individual contributors and contractors.
Plan, develop, implement, support, maintain, and enhance data management systems.
Work with Data Architects, Data Engineers, and Data Testers to ensure data solutions align with business objectives.
Coordinate with business users during project implementations and serve as a point of contact for subsequent data questions and issues.
Facilitate and lead meetings with end users at all levels, including VPs, directors, managers, and subject matter experts.
Keep management and business stakeholders informed about critical issues, project status, and changes.
Define, establish, and evolve best practices in data engineering, data analytics, and support.
Understand and participate in Environmental, Health & Safety responsibilities in accordance with established UO policies, procedures, training, and team member involvement activities.
Perform other duties as assigned.