Senior Product Manager II, Ads Data

Posted 12 Days Ago
Santa Monica, CA
Hybrid
152K-224K Annually
Senior level
AdTech • Digital Media • News + Entertainment
Create the Tech Behind Our Magic
The Role
As a Senior Product Manager II, you'll drive product strategy for the advertising data platform, oversee execution of data initiatives, and collaborate with various teams to ensure quality reporting and data management. You will lead product backlog, prioritize advertising data projects, and optimize platform services while maintaining a focus on user needs and business objectives.
Summary Generated by Built In

Disney Entertainment & ESPN Technology
As a Senior Product Manager II on the Ad Platform Data team at Disney, you will play a key role in shaping the future of digital advertising through data. You will drive the strategy and execution for Ads Data products, ensuring that advertising event data, metadata, and analytics capabilities power reporting, billing, measurement, and optimization across The Walt Disney Company. Your work will be instrumental in enabling real-time insights, accurate revenue reporting, and advanced ad performance analytics that support both internal teams and external advertisers.
The ideal candidate has deep experience in advertising data platforms, understands the complexities of ad event pipelines, measurement, and data infrastructure, and thrives in a fast-moving environment where data quality and precision drive business decisions. If you are passionate about building the next generation of advertising technology, this role is for you.
Key Responsibilities

  • Lead and execute the strategy for Ads Data products, which include including event data pipelines, metadata schemas, operational data stores, and reporting APIs that power advertising and business intelligence needs.
  • Own the domain model for ads Event and Metadata data, ensuring that advertising log-level data, impression tracking, and campaign performance metrics are well-structured, documented, and consumable by data teams.
  • Define and execute the roadmap for key advertising data initiatives, balancing data ingestion, ETL optimization, query performance, and data governance to support both real-time and batch reporting.
  • Collaborate with Ad Measurement, Research, and Data Science teams to ensure advertising data is accurately modeled and feeds critical use cases such as attribution, audience insights, forecasting, and ML-based optimization.
  • Work with upstream teams to capture and standardize ad event data from DSPs, ad servers, and other inventory sources, ensuring consistency across platforms.
  • Partner with Ad Sales, Business Intelligence, and Finance to align on revenue reporting, campaign tracking, and forecasting accuracy.
  • Ensure compliance with Data Privacy, Governance, and Security teams, ensuring that advertiser data is managed in accordance with regulations and company policies.
  • Drive product execution by prioritizing backlog items that improve data pipelines, reduce latency, enhance ad performance insights, and optimize costs.
  • Champion a data-driven culture within the Ad Platform team, leveraging analytics to measure product success and guide future investment.


What You Bring

  • 7+ years of Product Management experience, preferably in AdTech, MarTech, or digital advertising platforms.
  • Bachelor's degree in [preferred field], or relevant years of experience.
  • Deep understanding of advertising data infrastructure, including event processing, real-time data pipelines, ETL/ELT workflows, and cloud-based data lakes/warehouses.
  • Strong knowledge of ad event tracking, log-level data processing, and reporting for ad campaign performance, revenue analytics, and attribution models.
  • Proficiency in SQL and data query optimization, with experience working with Snowflake, Presto, BigQuery, or similar.
  • Strong technical documentation and diagramming skills to define data schemas, API structures, and ETL workflows.
  • Experience working across Ad Server data, DSPs, SSPs, and Ad Measurement systems.
  • Ability to communicate effectively across Engineering, Business, Data Science, and Executive stakeholders to translate complex ad data challenges into business impact.
  • Passion for Ads Data, Measurement, and Analytics-with an ability to drive innovative solutions in a rapidly evolving digital advertising landscape.


The hiring range for this position in Los Angeles, CA, Washington D.C., and Chicago, IL is $152,200 to $204,100 per year, in New York and Seattle, WA is $159,500 to $213,900 per year, and in San Francisco, CA is $166,800 to $223,600 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.

Top Skills

SQL

What the Team is Saying

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The Company
HQ: Burbank , CA
200,000 Employees
Hybrid Workplace
Year Founded: 1923

What We Do

Innovation is in the DNA of The Walt Disney Company. We not only embrace it, we translate it into experiences you can see and feel. From our groundbreaking work in advanced audio-animatronic robots featured in the Disney theme parks, to streaming services that are redefining entertainment, to inventing tools to create new worlds in our films — The Walt Disney Company has spent nearly 100 years immersing audiences in new and stunning experiences using groundbreaking technology. When next generation technology meets talented people ready to tackle challenges still to be imagined, anything can happen.

Why Work With Us

Every technologist at Disney is essential to helping us create unforgettable experiences and innovative products. Our teams constantly spearhead innovation by incubating cutting-edge ideas into production-ready solutions. At Disney, you’ll make an impact you can see and feel with a team that both supports and challenges your thinking.

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Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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