Disney Media & Entertainment Distribution Looking for Sr Manager, Marketing Science at New York County, New York Full Time

Marketing Science – a sub-team within marketing analytics at Disney Streaming Services (Hulu, Disney+, ESPN+ and Star) – is in search of a Sr. 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 Sr. 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 types

Basic Qualifications

• 7-10 years of experience in a marketing science / analytics role with a deep understanding of measurement and optimization

• Experience presenting findings and recommendations

• Experience managing direct reports

• 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)

Basic Education

• BA/BS in a quantitative discipline

Additional Information

​DISNEYTECH