Director, Marketing Science
応募後で応募 Job ID 980005BR 勤務地－都市 サンタモニカ, カリフォルニア州, アメリカ合衆国 / ニューヨーク, ニューヨーク州, アメリカ合衆国 勤務地－国 Disney Streaming 掲載日 May 16, 2022 柔軟な働き方の種類 ハイブリッド- この職務はハイブリッドで、従業員は勤務時間の一部を会社の指定した場所で勤務し、残りの時間をリモートで勤務します。
仕事内容:
Marketing science – a subset of marketing analytics – at Disney Streaming Services (Hulu, Disney+, ESPN+ and Star) is in search of a director to support our marketing and finance departments. This position will work heavily on analytic / econometric modeling efforts, as well as ancillary downstream practices used to inform marketing spend, such as budget allocation, simulation and scenario planning, channel experimentation and forecasting. The director function plays a key role in operationalizing modeling efforts while helping to grow and train analysts within the organization.
The director will be hands-on in building media mix models (MMM) in coordination with data science, data engineering and data product, with a goal toward efficiently maximizing subscriber growth across platforms. The ideal candidate has a strong quantitative background with direct experience with marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), while being a strong collaborator and partner to business operators and internal teams across the data department. Technical acumen as well as narrative-building and strategic partnership are integral to the success of this role.
The director will be hands-on in building media mix models (MMM) in coordination with data science, data engineering and data product, with a goal toward efficiently maximizing subscriber growth across platforms. The ideal candidate has a strong quantitative background with direct experience with marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), while being a strong collaborator and partner to business operators and internal teams across the data department. Technical acumen as well as narrative-building and strategic partnership are integral to the success of this role.
職責／担当・主要業務:
- Build, scale and help productionalize econometric models (et.al.) in close partnership with marketing and finance partners (including regional leads), and with close consult with and collaboration across data engineering and data product teams
- Enable, implement and scale budgetary mix optimization, attribution, targeting and experimentation best practices and procedures
- Help quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify hurdle rates by channel, set budget amounts and inform subscriber acquisition forecasts
- Provide mentorship to analysts carrying out modeling and other analytics to foster upward internal mobility and expansion of skills
- Lead ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results
- Partner with other data teams as well as marketing and finance to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc.)
- Help facilitate plans for long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product
- Build out front-end reporting and dashboarding in partnership with data product managers and data engineers to communicate performance metrics across services, markets, channels and subscriber types
必須要件:
- 8+ years of experience in a marketing science / analytics role with a deep understanding of measurement and optimization, with direct analytics leadership experience
- Expertise in econometric modeling practices and how to apply models to measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM)
- Hands-on experience building out measurement frameworks combining descriptive analytics, modeled insights and causal inference to make tactical recommendations for media optimization
- Experience with attribution platforms for both digital and linear media, the data required to power them and methodologies for measurement
- Understanding of how to design and execute incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy
- Strategic mindset with a strong understanding of utilizing data to solve high-stakes problems in the marketing space
- Familiarity with BI/data concepts and experience building out self-service marketing data solutions
- Familiarity with marketing technology concepts and tools (e.g., DMP, CDP, web analytics, identity resolution, programmatic ad serving, data integration)
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。
このポジションは Hulu, LLC という事業部門の一つである Disney Streamingでのお仕事です。
Hulu, 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。