DISNEYのExecutive Director, Data Engineering - Content Systems Skip Navigation
The Walt Disney Company: Be Part of the Story

Be Part of the Story

Executive Director, Data Engineering - Content Systems

応募後で応募 Job ID 894010BR 勤務地-都市 ニューヨーク, ニューヨーク州, アメリカ合衆国; サンタモニカ, カリフォルニア州, アメリカ合衆国 勤務地-国 Disney Streaming 掲載日 Nov. 29, 2021


As the Exec Director of Content Data Engineering for all of Disney Streaming (Hulu, Disney+, ESPN+ and Star), this position is responsible for collection, transformation and delivery of high quality data for content engagement and subscription use cases across Disney’s streaming businesses. These include analytical, machine learning, reporting and system feedback uses. The Exec Director will lead a multiple high functioning data engineering teams to deliver data solutions that enable these use cases. The ideal candidate has a broad data engineering and leadership background with demonstrated collaboration experience with business users, product managers and exec stakeholders.


  • Build high impact data products at Disney Streaming focused on subscriber data and content engagement 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
  • 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
  • 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
  • Develop systems thinking focus for your teams including:
  1. The creation of clear specifications framework
  2. Architectural plan covering systems, data and solutions architectures
  3. Acceptance criteria and success measures
  4. Instrumentation and Service Level capabilities
  5. Quality tooling for test driven development and ongoing data quality testing in production
  6. Measurement of data storage/query cost
  7. Frame accessibility/usability tooling


  • 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


  • Media / Streaming or subscriber-based industry experience
  • Management or Strategy consulting background
  • Experience with delivering large scale enterprise applications using big data open source solutions such as Hadoop, HBase, Spark, Kafka and Elastic Search / Solr
  • Knowledge of SQL and one or more of these DB’s - Oracle, MySQL, Teradata
  • Experience or knowledge of No-SQL - DB’s - Cassandra, MongoDB, Redis, Couchbase
  • Experience with Tableau or other visualization tools


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


  • Advance CS degree or MBA is a plus

Disney Streaming について:

Disney Media & Entertainment Distribution (DMED)は、国際的な事業部門とさまざまな消費者向けストリーミングサービスで構成されており、テクノロジー、メディア配信、広告販売を単一の事業セグメントに統括し、世界中の消費者一人ひとりに応じたエンターテインメント体験を創出・配信しています。

The Walt Disney Company について:

The Walt Disney Companyおよびその子会社・関連会社は、メディア・ネットワーク、パーク&リゾート、スタジオ・エンターテイメント、コンシューマ・プロダクツ、インタラクティブ・メディア事業を扱う、多角化したファミリー向けエンターテイメントとメディアのグローバルカンパニーです。1920年代に小さなアニメーション・スタジオとしてスタートしたディズニーは、今日のエンターテイメント業界において世界中の人々に愛される存在となりました。今後もお客様一人ひとりに最上のストーリーと体験を提供できるような作品作りを継承し、40カ国以上で従業員とキャストメンバーが一丸となり、ディズニーエンターテイメント体験を創出していきます。

これは Disney Streaming Services LLC, のポジションであり、 Disney Streamingという事業区分に含まれます。

Disney Streaming Services LLC は雇用において均等な機会を提供しています。人種、肌の色、宗教、性別、国籍、性的指向、性自認、障害、又は保護を受けている退役軍人であるという立場に関わらず、応募者を選考します。Disneyは、企業が成長し、革新を生み、最高のストーリーを創出し、急速に変化する世界に対応できるよう、あらゆる人のアイデアや決定を尊重する企業文化を育みます。

応募 後で応募




  • テクノロジー, ニューヨーク, ニューヨーク州, アメリカ合衆国削除
  • テクノロジー, サンタモニカ, カリフォルニア州, アメリカ合衆国削除
  • Data - Technology, ニューヨーク, ニューヨーク州, アメリカ合衆国削除
  • Data - Technology, サンタモニカ, カリフォルニア州, アメリカ合衆国削除