The Walt Disney Company Manager, Data Quality in Burbank, California
Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International (DTCI) segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world.
The Walt Disney Company’s Direct-to-Consumer and International segment (DTCI) is a global, multiplatform media, technology and distribution organization for high-quality content created by Disney’s Studio Entertainment and Media Networks groups.
DTCI includes Disney’s international media operations and the Company’s direct-to-consumer businesses globally, including the upcoming Disney-branded direct-to-consumer streaming service, the Company’s ownership stake in Hulu, and the ESPN+ sports streaming service, programmed in partnership with ESPN. BAMTECH Media, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company as part of the Direct-to-Consumer and International segment.
The Data Quality team partners with the Product Management and Engineering functions of the Data Platform team as well as with legal, privacy, security, and the industry group to ensure consistent, trustworthy data across all of DTCI and TWDC. The group creates strategy designed to ensure quality data that is also secure and compliant with internal and legal standards. The group works with other groups within the DTCI technology organization to implement the data quality strategy within platform components, reporting and analytics, tools and compliance standards.
The Manager of Data Quality is a leadership role on the Data Platforms Data Quality Team whose mission is to ensure DTCI data is compliant and of high quality; i.e., complete, accurate, timely, valid, and relevant and promote data quality awareness and excellence across multiple staff profiles to include engineering managers, product managers, product owners, and engineers. This role will work closely with Product and Engineering teams to implement a standard Data Quality and Audit, Balance, and Control framework across a complex technical landscape, providing protection and integrity throughout the product lifecycle and data flows. The Data Quality team will establish and enhance data management, governance, and quality procedures and practices and provide guidance to product and engineering teams in application of these policies. This role will report to the Director of Data Quality.
Define Data Quality and Audit, Balance, and Control framework to be implemented by Product and Engineering teams; provide guidance and technical requirements needed for successful implementation. Assess Quality Assurance functions performed by Engineering Teams; complete gap analysis and improvement recommendations.
Prioritize, track, and oversee on-going data profiling and data quality activities to include deep dive analysis on large datasets and complex data flows across multiple enterprise applications to include the Enterprise Permissions Center (EPC), Enterprise Data Platform (EDP), legacy Athena (Online registrations and login data), Enterprise Consumer Data Platform (eCDP), ESPN CDP, DATG CDP, and future data platforms. Evaluate and identify where system enhancements are required to address data quality issues; e.g., code fixes, source system changes, etc. Define business rules and exception handling processes as needed.
In partnership with the Director of Data Quality, define Data Quality KPI’s and metric requirements for a complex environment; define reporting requirements and distribution for all level of audiences and stakeholders.
Drive data quality issue resolution and collaboration with data providers, data stewards, and recipients to include: DQ improvement plans, communications, and tasks required for DQ initiatives.
In partnership with the Director of Data Quality, identify automation opportunities and standardization of practices and tools for data quality and quality assurance activities
8-10 years of experience in Data Quality Management projects
2+ years of people management experience
Expert knowledge of Data Management Principles and Data Quality Improvement
Solid understanding of Data Warehousing and Data Integration Architecture
Experience in the following:
Defining Data Quality assessments, KPI definition, remediation and continuous improvement plans
Solid understanding of Data Warehouse architecture principles
Root cause analysis
Data Story Telling
Understanding of Master Data Management (MDM)
Experience using Data Science tools; e.g., Qubole
Skilled in reporting tools to include Tableau or Looker
Experience with complex Data Integration architectures
Advanced knowledge of SQL; Python
Strong communication skills (written and oral) to all staff levels and possess ability to deliver information tactfully. Ability to work with internal teams and external vendor teams
Detail-oriented and able to multitask according to project priorities and with complex requirements and aggressive timelines
Data Quality certification IQCP, CIMP
Experience with Data Quality Products such as Informatica IDQ
Experience with complex process analysis and technical implementations of data solutions
Knowledge of agile SDLC methodologies
Possesses understanding of customer behavior analysis and customer data integration
Experience with Metadata tools; e.g., Collibra, Informatica Axon/EDC.
Knowledge of Big Data architecture
- B.S. Computer Science, Data Science, or related field.
- MS, Computer Science, Data Science, or related field
Job ID: 763920BR
Job Posting Company: Direct-to-Consumer and International
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