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# Principal Data Product Owner, Marketing Data and Agents

- **Company:** Gap Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $209,700.0 - $272,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Marketing Information Systems, Web Analytics, Data Strategy, Data Management, Data Pipelines
- **Published:** June 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8264e067215a9fcc

## About the Role

Do you have experience in Team leadership?, * 8+ years of experience in data, analytics, or data product management

 * Proven experience leading and scaling teams
 * Strong background in marketing and digital analytics
 * Experience working with marketing data;
 * Ability to influence cross-functional stakeholders and drive business outcomes
 * Experience in retail, marketing, or marketplace environments preferred
 * Exposure to AI or data science is a plus

What Success Looks Like

 * Clear data strategy and roadmap aligned with business priorities
 * Improved adoption and effectiveness of analytics platforms
 * A strong, engaged team

## Description

We're looking for a Principal Data Product Owner to lead and scale data capabilities across our marketing domain. This role owns the strategy, roadmap, and delivery of marketing data products that power campaigns, content, and agents as we move towards agentic marketing.You'll operate as a business and data leader-partnering with Product, Engineering, and executive stakeholders to turn data into measurable growth., * Define and execute the data and analytics strategy for marketing, including content, campaigns, and engagement data across both paid and owned media channels

 * Lead efforts to define business and data requirements for marketing Agents, focused on activation, content, insights & measurement.
 * Partner with leadership to prioritize investments and align on long-term data strategy

 2. Deliver Data Products & Insights
 * Partner with Product and Engineering to deliver scalable data solutions
 * Translate business needs into analytics, reporting, and data product requirements
 * Ensure high-quality data and actionable insights across digital touchpoints

 3. Drive Customer Outcomes
 * Partner with others to enable data to be used evaluate performance and guide product and business decisions
 * Identify opportunities to improve conversion, engagement, and customer experience through marketing channels

 5. Influence & Communicate
 * Present insights and recommendations to senior leadership
 * Translate complex data into clear, actionable business narratives
 * Act as a connector across business, product, and technical teams


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