Sr Manager, Cloud Data Engineering

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.

• 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.

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

• 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 Data Stage/Quality Stage, Informatica Power Center, etc.
• Experience with one or more reporting/ad-hoc analysis tools such as Micro Strategy, 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.

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