Measurement Partnerships Manager

Measurement Partnerships Manager

Locations: Hybrid in Los Angeles, Redwood City, Vancouver, or Kirkland

Role Summary

EA Advertising partners with measurement and insights providers to prove our audience's value to advertisers. As Measurement Partnerships Manager, you'll manage these partnerships and be the main contact for clients. You will recommend the measurement solutions and help them understand and use their results. You'll report to the Director of Advertising Intelligence and need to be comfortable discussing technical details with vendors and data with clients.

Responsibilities

• Be the main contact for advertisers on measurement — recommend the right solutions and help them interpret results.

• Build custom performance analyses with advertisers and vendors, and package results for our Sales team.

• Help us onboard and manage measurement partners, from evaluation through integration.

• Track partner performance against our roadmap, and manage renewals.

• Consult with AdTech team as they work through technical integrations, including data pipelines and clean rooms to provide client and end-user requirements.

• Research new measurement tools and trends, and recommend what we should adopt.

• Collect partner and client feedback and share it with our Product and Engineering teams.

• Resolve daily partner and client issues, escalating to the Director when needed.

Qualifications

• 5+ years in ad measurement, verification, or marketing analytics.

• Working knowledge of measurement/verification vendors (e.g., DoubleVerify, IAS, or HUMAN).

• Familiarity with data clean rooms (e.g., InfoSum, LiveRamp).

• Experience managing external partners or vendors.

• Client-facing experience explaining data to non-technical audiences.

• Comfortable working hands-on with data and analysis tools (Excel required; SQL or BI tools).

• Bachelor's degree or equivalent experience.

• Experience in entertainment or CTV advertising.

• Familiarity with incrementality testing, MMM, or attribution methods.

• Experience presenting analysis directly to clients and non-technical internal partners.