Define and execute the multi-year roadmap architecture for ETL pipelines, telemetry, identity, storage, transformation, and activation layers
Partner with Engineering and Analytics Engineering to evolve scalable, reliable, and cost-efficient data architecture
Establish product requirements for client telemetry, event tracking standards, and data quality frameworks
Drive governance, privacy, and compliance alignment across retailer and advertiser data flows
Lead initiatives that improve data completeness, accuracy, and trust, especially where incomplete or inconsistent data impacts business KPIs
Develop and scale reporting, dashboards, and self-serve analytics capabilities for internal teams and external partners
Balance foundational platform investments with high-revenue product domains such as audience optimization, personalized advertising, rebates, and promotional systems
Align data strategy with adjacent domains including loyalty, rewards, ecommerce, challenges, and catalog intelligence
Evaluate trade-offs between technical debt reduction and new feature development to maximize long-term platform health and business impact
Partner with Data Science to deliver ML-powered personalization, audience optimization, and predictive insights
Translate experimentation, modeling, and algorithmic outputs into usable and explainable product features
Identify and prioritize AI opportunities that drive revenue growth, operational efficiency, and competitive differentiation
Mentor Product Managers focused on data and AI initiatives
Serve as the connective tissue between Product, Engineering, Data Science, Design, Revenue, and Operations
Establish intake, prioritization, and roadmap governance processes for data-related initiatives across the organization
Communicate vision, progress, and outcomes to executive leadership and stakeholders with clarity and credibility

Requirements

Bachelor’s degree in Computer Science, Data Science, Business, or related field (MBA preferred)
8–12+ years in Product Management, with significant experience in data platforms, analytics, or AI/ML-driven products
Proven experience managing data-driven products and leading cross-functional teams
Strong understanding of data ingestion processes, ETL, data warehousing, and reporting technologies
Experience with personalization algorithms, recommendation systems, and machine learning applications
Excellent analytical skills with the ability to make data-informed decisions
Exceptional leadership, communication, and collaboration skills
Proven ability to influence and coordinate cross-functional teams to achieve strategic priorities
Strong communication skills, with the ability to convey technical details and high-level strategy to a diverse audience
Experienced in addressing executive leadership, supporting the sales cycle, and handling sensitive customer issues
Solid understanding of the software development lifecycle and online services management
Skilled at collaborating across diverse teams and complex organizations to drive results
Experience leading technology discussions related to product decisions and strategy
Demonstrated experience in managing roadmap strategy, feature delivery, and product trade-offs
This position is not eligible for visa sponsorship. Applicants must be authorized to work in the U.S. without the need for current or future sponsorship

Benefits

Equal Opportunity Employer
Reasonable accommodations for qualified individuals with disabilities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETLdata warehousingdata ingestion processespersonalization algorithmsrecommendation systemsmachine learningdata quality frameworksreporting technologiesanalyticsdata architecture

Soft Skills

leadershipcommunicationcollaborationanalytical skillsinfluencecoordinationstrategic prioritizationmentoringclaritycredibility

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Data ScienceBachelor’s degree in BusinessMBA