Senior Manager, Monetization – Audiences & Data

DICK'S Sporting Goods

. Own audience and data product strategy .

Posted 10/2/2026full-timeRemote • United StatesSenior💰 $95,200 - $158,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in audience strategy, data product development, and privacy-compliant data collaboration. Proficient in building governance frameworks and measurement strategies to drive data monetization and cross-functional alignment.

Highest-signal resume keywords

Audience StrategyData Products DevelopmentData PartnershipsClean Rooms ExperienceECommerce Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData Segmentation FrameworkMeasurement FrameworksKPI DefinitionData Access ModelsAPIs DevelopmentData MonetizationPrivacy ComplianceMicrosoft ExcelAdobe Analytics

Soft Skills

Cross-Functional CollaborationTeam DevelopmentOrganizational ImprovementCoachingFeedback

Tools & Technologies

SnowflakeBigQueryDatabricksLiveRamp

Industry Keywords

Retail MediaAd TechData GovernanceData PrivacyData Collaboration

Tech Stack

Tools & technologies

BigQuery

About the role

Key responsibilities & impact

Own audience and data product strategy
Define audience segmentation framework and taxonomy
Develop scalable audience products for activation across channels
Partner with data science and analytics teams to enhance signal and targeting capabilities
Drive data access and collaboration capabilities
Develop data access models including APIs, feeds, and partner integrations
Lead clean room strategy and partner enablement for data collaboration
Enable advertiser and partner access to data in a secure, privacy-compliant manner
Build operating model and governance
Establish governance for data usage, privacy, and compliance
Define measurement frameworks and KPIs for data monetization
Drive cross-functional alignment across business, product, and technology
Build effective cross-functional working teams
Develop talent through coaching, feedback, exposure, and stretch assignments
Partner with department leadership to establish strategic staffing and succession plans
Drive teammate engagement and organizational improvements

Requirements

What you’ll need

Bachelor's Degree in Business or related subject
7-10 years experience in data, analytics, retail media, or ad tech
Strong background in audience strategy, data products, and data partnerships, including clean rooms and privacy-safe data collaboration
eCommerce Experience
Retail Media Network Experience
Advanced experience using Microsoft Excel
Experience with data platforms (Snowflake, BigQuery, Databricks)
Experience with Adobe Analytics or comparable web analytics system
Experience with clean rooms and identity solutions (e.g., LiveRamp, etc.)
Cameras must be on during all virtual interviews
AI tools are not permitted during any part of the interview process
Offers are contingent upon a satisfactory background check, which may include ID verification

Benefits

Comp & perks

Competitive total rewards package
Incentive
Equity
Benefits
State paid leave requirements
Generous suite of benefits
Reasonable accommodations for interviews