Manager, Data Activation
The Walt Disney Company
Job Posting Title:
Manager, Data ActivationReq ID:
10121869Job Description:
Supporting the Disney Advertising organization within Entertainment and Sports, the Audience Modeling and Data Science team are subject matter experts in each of the following areas:
- Creating and optimizing audience segmentation models that enable us to reach specific audiences based on brand affinities, app behavior, and video viewership among other things
- Examining other ways to expand audience sizes and depth through look-alike modeling of behaviors within our own network of digital properties
- Analyzing the performance of audiences in real-world campaigns and optimizing audience usage and composition
Job Summary:
We’re looking for an intellectually curious, business-savvy, analytical powerhouse to join the Audience Modeling and Data Science team as a Manager, Data Activation. In this role, you will be responsible for coordinating between the Audience Modeling and Data Science team and various Disney Advertising teams, developing strategic sales related data plans across platforms. You will have a strong knowledge of the media landscape across social, digital, and linear with a deep understanding of how data can be leveraged to drive better results through improved ad targeting.
Responsibilities and Duties of the Role:
- Lead and develop a team of Data Activation Analysts
- Work closely with teams from ad solutions, ad sales research, data platform, and client & brand solutions to ensure best in class innovative opportunities are brought to our agency and client partners
- Present capabilities and campaign insights to both external and internal partners
- Develop actionable campaign strategies on behalf of the sales team and clients
- Communicate directly with internal stakeholders as well as advertisers regarding campaign goals, planning, and define KPIs for success
- Communicate market and client needs based on campaign performance, client feedback, and industry trends to the rest of the Audience Model and Data Science team in order to drive the conception and prioritization of data capabilities, while balancing overall revenue driving opportunities.
- Help drive monetization of data capabilities to support revenue goals and objectives
- Provide education and sales support on Audience Modeling and Data Science data capabilities to help grow and diversify revenue
- Develop case studies from prior campaigns to share with internal partners and inform future campaigns
- Assist with creation of decks and other promotional materials
Required Education, Experience/Skills/Training:
- B.A./B.S. in a quantitative field of study
- 5+ years of experience in a role requiring knowledge of cross-platform data-driven ad business, data science, analytics, research, ad-tech, and/or mar-tech
- 2+ years of experience mentoring analysts, on-boarding new team members, or leading a team
- Excel at juggling multiple projects, staying organized and prioritizing deadlines
- Seasoned in managing timelines, delivery, dependencies, communication across teams
- Great communication and teamwork skills
- Knowledge of Salesforce DMP, Adobe Audience Manager, Oracle BlueKai or other DMPs a plus
- Experience with data onboarding a plus
- Self-motivated with the ability to work independently
#DisneyAdvertising
The hiring range for this position is $113,800 - $152,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.Job Posting Segment:
Disney AdvertisingJob Posting Primary Business:
Audience Modeling, Attribution & Data SciencePrimary Job Posting Category:
Digital AnalyticsEmployment Type:
Full timePrimary City, State, Region, Postal Code:
Santa Monica, CA, USAAlternate City, State, Region, Postal Code:
Date Posted:
2025-05-22