The Walt Disney Company
Create the Tech Behind Our Magic
New York City, NY

Executive Director, Data Engineering, Content Vertical

| New York City, NY
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As the Exec Director of Data Engineering - Content you would set and implement the strategy for Disney Streaming's live and video content data and metadata capabilities. These data capabilities would drive world class content and engagement data availability across Disney Streaming. This position is responsible for the collection, transformation and delivery of data for all content use cases. These include analytical, machine learning, reporting and system feedback.
The Exec Director will lead multiple high functioning data engineering teams to deliver data solutions that enable these use cases. The ideal candidate has broad data engineering and leadership background with demonstrated collaboration experience with engineers, business users, product managers and exec stakeholders.
Responsibilities :
  • Build high impact data products at Disney Streaming focused on content data.
  • Manage, build and grow the data engineering teams. Offer organizational design thinking to best structure the team and equip them for success in their goals
  • Drive data architecture and systems planning
  • Translate requirements between product management and business stakeholders while leveraging architects drive strong technical design and implementation practices with your engineering teams
  • Define the vision and strategy for data engineering products and capabilities aligned to overall organizational and business objectives
  • Promote and develop engineering best practices, guidelines, procedures and repeatable, agile and scalable frameworks
  • Develop systems thinking focus for your teams including:
    • the creation of clear specifications framework,
    • architectural plan covering systems, data and solutions architectures,
    • acceptance criteria and success measures,
    • instrumentation and Service Level capabilities,
    • Quality tooling for test driven development and ongoing data quality testing in production,
    • Measurement of data storage/query cost,
    • Frame accessibility/usability tooling,
  • Ensure products/solutions are built to address core business questions and operational needs, actively bring the product back to the business model and strategy
  • Build a network. Establish and grow relationships with Disney Streaming executives and senior leaders across data, technology, product and business teams

Basic Qualifications :
  • Demonstrated leadership skills and ability attract, build and develop successful product teams
  • 15+ years in data or software engineering with 10+ years managing teams.
  • Successful track record of building data products and capabilities
  • Highly analytical and collaborative qualities with strong technical, strategic and problem-solving skills
  • Experience solving problems in an ambiguous environment
  • Experience utilizing both qualitative analysis and quantitative analysis techniques and familiarity with common data science models and approaches to problem solving. Generally: the ability to plan for what analysts and data scientists need to deliver successfully
  • Ability to thrive in a dynamic and fast-paced operational environment, drive change, and collaborate with a variety of individuals and organizational partners
  • Experience demonstrating leadership, self-motivation, accountability, and being a standout colleague.
  • C-Suite communication skills
  • A broad, enterprise-wide view of the business and strong appreciation for strategy, processes and capabilities, enabling technologies, and governance
  • Demonstrated ability to create develop business plan and ability to articulate long-term value proposition
  • Practical experience with agile methodologies and scrum
  • Self-motivated with pragmatic approach to deliver quality solutions iteratively and intellectual curiosity to grow and learn

Preferred Qualifications:
  • Content / Media / Streaming or subscriber-based industry experience
  • Management or Strategy consulting background
  • Knowledge of SQL and one or more big data warehouse technologies e.g. Snowflake, Redshift
  • Experience with delivering large scale enterprise applications using big data tech such as S3, Hadoop, Spark
  • Experience or knowledge of No-SQL - DB's - Cassandra, MongoDB, Redis, Couchbase
  • Experience with Tableau, Looker or other visualization tools

Required Education :
  • Degree in Comp Sci, Data, Engineering, Math, Science, or related field
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