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Manager, Marketing Science

Apply NowApply Later Job ID 980003BR Location New York, New York, United States Business Disney Streaming Date posted May 23, 2022 Flex Type Hybrid

- This role is considered hybrid, which means the employee will work a portion of their time on-site from a Company designated location and the remainder of their time remotely.

Job Summary:

Marketing science – a sub-team within marketing analytics at Disney Streaming Services (Hulu, Disney+, ESPN+ and Star) – is in search of a manager to help produce and scale its mix modeling efforts. This position will work heavily on analytic / econometric modeling, and provide support for ancillary downstream practices used to inform marketing spend, such as budget allocation, simulation and scenario planning, channel experimentation and forecasting. This position plays a key role in operationalizing modeling efforts while helping to grow and train analysts within the organization.

The manager will be hands-on in building media mix models (MMM) in coordination with data science, data engineering and data product, with an end goal toward efficiently maximizing subscriber growth across platforms. The ideal candidate has a substantial quantitative skillset with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role.

Responsibilities:

  • Build, sustain and scale econometric models for Disney Streaming Services with close consult with and collaboration across data engineering and data product teams
  • Help quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts
  • Inform budgetary mix optimization, attribution, targeting and experimentation providing best practices and procedures for the organization
  • 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 type

Basic Qualifications:

  • At least 5 years of experience in a marketing science / analytics role with a deep understanding of measurement and optimization
  • Experience in applied econometric modeling, ideally in support of 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
  • Familiarity 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
  • 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)
  • Proficiency in SQL as well as statistical modeling platforms (Python, R, etc

Required Education

  • BA/BS in a quantitative discipline

About Disney Streaming:

Comprised of the Company’s international business units and various direct-to-consumer streaming services, Disney Media & Entertainment Distribution (DMED) aligns technology, media distribution and advertising sales into a single business segment to create and deliver personalized entertainment experiences to consumers around the world.

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.

This position is with Disney Streaming Services LLC, which is part of a business we call Disney Streaming.

Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.

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