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 Digital & Technology, NBCUniversal Operations & Technology, and global business stakeholders to understand and support enterprise data requirements effectively and efficiently. The position promotes collaboration with leaders across divisions to share strategies and best practices and improve efficiency. The Senior Manager leads a team of salaried technical individual contributors and contractors and oversees planning, development, implementation, support, maintenance, and enhancement of data management systems. The role partners with Data Architects, Data Engineers, and Data Testers to align data solutions with business objectives; coordinates with business users during project implementations and serves as a contact for subsequent data questions and issues; and facilitates meetings with end users at all levels. The role also keeps management and business stakeholders informed about critical issues, project status, and changes, and establishes and evolves best practices in data engineering, analytics, and support. The position also requires understanding and active participation in Environmental, Health & Safety responsibilities by following 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 prior leadership experience managing teams of four or more resources.
Deep experience working 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/data quality tools, such as IBM DataStage/QualityStage or Informatica PowerCenter.
Experience with one or more reporting/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 future data questions and issues.
Facilitate and lead meetings with end users at all levels, including vice presidents, directors, managers, and subject matter experts.
Keep management and business stakeholders informed of critical issues, project status, changes, and related matters.
Define, establish, and evolve best practices in data engineering, data analytics, and support.
Follow established UO Environmental, Health & Safety policies, procedures, training, and team member involvement activities.
Perform other duties as assigned.