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The Walt Disney Company: Be Part of the Story

Be Part of the Story

Manager, Data Quality

Apply Now Apply Later Current 21CF Employees and Freelance / Contractors Apply Here Job ID 763920BR Location Burbank, California, United States Business Direct-to-Consumer and International Date posted Jul. 30, 2020

Job Summary:

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.

Responsibilities:

  • 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


Basic Qualifications:

  • 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

Preferred Qualifications:

  • 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

Required Education

  • B.S. Computer Science, Data Science, or related field.

Preferred Education

  • MS, Computer Science, Data Science, or related field

Responsibilities:

  • 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

Basic Qualifications:

  • 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

Preferred Qualifications:

  • 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

Required Education

  • B.S. Computer Science, Data Science, or related field.

Preferred Education

  • MS, Computer Science, Data Science, or related field


About Direct-to-Consumer and International:

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

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