Senior Manager, Monetization – Audiences & Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the audience and data product strategy.

• Establish the audience segmentation framework and taxonomy.

• Create scalable audience products for activation across various channels.

• Collaborate with data science and analytics teams to improve signal and targeting capabilities.

• Promote data access and enhance collaboration capabilities.

• Design data access models, which include APIs, feeds, and partner integrations.

• Lead the clean room strategy and enable partners for data collaboration.

• Ensure advertiser and partner access to data is secure and complies with privacy regulations.

• Develop the operating model and governance framework.

• Set governance standards for data usage, privacy, and compliance.

• Define measurement frameworks and key performance indicators (KPIs) for data monetization.

• Foster cross-functional alignment among business, product, and technology teams.

• Construct effective cross-functional teams that work collaboratively.

• Cultivate talent through coaching, constructive feedback, exposure, and challenging assignments.

• Collaborate with department leadership to create strategic staffing and succession plans.

• Enhance teammate engagement and implement organizational improvements.

⛳️ Requirements

• Bachelor's Degree in Business or a related field.

• 7-10 years of experience in data, analytics, retail media, or ad tech.

• Solid background in audience strategy, data products, and data partnerships, including clean rooms and privacy-compliant data collaboration.

• Experience in eCommerce.

• Familiarity with retail media networks.

• Advanced proficiency in Microsoft Excel.

• Experience with data platforms such as Snowflake, BigQuery, and Databricks.

• Knowledge of Adobe Analytics or a similar web analytics system.

• Experience with clean rooms and identity solutions (e.g., LiveRamp, etc.).

• Cameras must be on during all virtual interviews.

• Use of AI tools is not permitted at any stage of the interview process.

• Offers are contingent upon a successful background check, which may include ID verification.

🏝️ Benefits

• Competitive total rewards package.

• Incentive opportunities.

• Equity options.

• Comprehensive benefits.

• Compliance with state paid leave requirements.

• Generous suite of benefits provided.

• Reasonable accommodations available for interviews.