- Support audience discovery, segmentation, sizing, and persona-based planning to inform campaign strategy and efficient media channel selection.
- Manage the delivery of 1st-party data segments to media partners.
- Oversee standardised audience taxonomies and documentation to improve campaign clarity, cross-region comparability, and acts as a source of truth.
- Manage clean room integrations to unlock for teams cross-title audience analysis, incremental reach insights, upper-funnel modelling inputs, and privacy-safe audience matching with partners.
- Collaborate with Legal & Privacy to maintain compliant growth-media data use cases.
- Translate clean room outputs into strategic audience insights used in briefs, planning cycles, and media recommendations.
- 5+ years experience in digital marketing, growth media, brand media, audience planning, ad-operations, or martech.
- Understand how to use 1st-party data for audience segmentation, campaign planning, & waterfall strategies.
- Familiarity with self-service media buying platforms including Meta, Google, TikTok, Snap, X, Amazon Ads, or Reddit.
- Experience with 1P data uploads and clean rooms such as InfoSum, Snowflake, Liveramp, or any other DMP/CDP solutions.
- Familiarity with data warehouses & writing SQL in Google BigQuery, Snowflake or other systems.
- Working knowledge of Looker Enterprise or similar BI reporting tools.
- Familiarity with global data privacy laws and governance.