Manager, Customer Data – Marketing Technology Organization; Hybrid

Overview

Manager, Customer Data – Marketing Technology Organization (Hybrid). Locations:
Dallas, TX or Akron, OH (Hybrid).

Join to apply for the Manager, Customer Data – Marketing Technology Organization (Hybrid) role at Signet Jewelers.

The Manager of Customer Data is a strategic technical leadership role within the Digital Technology organization, responsible for leading comprehensive data engineering efforts to deliver a unified view of existing customer data profiles and innovative prospect identification solutions. This position combines deep technical expertise with strategic thinking to architect, implement, and manage our Customer Data and Analytics platform, with particular emphasis on maximizing existing data profile utility and developing AI-driven prospect identification capabilities through first-party cookie approaches.

• Lead comprehensive data engineering effort to maximize existing customer data profiles and deliver a unified view across all touchpoints
• Develop innovative AI-powered prospect identification strategies leveraging first-party cookie data and behavioral analytics
• Lead the technical architecture and implementation of our Customer Data and Analytics platform with emphasis on existing profile optimization and prospect data acquisition
• Create and deliver on the technology roadmap for customer data and analytics platform, prioritizing existing data enhancement and AI-driven prospect solutions
• Provide thought leadership for best practices in customer profile optimization, AI-powered prospect identification, and first-party data monetization strategies
• Educate technology personnel on advanced data enrichment techniques, AI/ML applications, and privacy-compliant prospect identification methods

• Own and lead initiatives to define, design and implement the customer data platform solution which includes reference architectures, estimates, and costing
• Prepare technical design documents, presentations for architecture review board, reports, and other technical artifacts
• Collaborate with various business, IT teams and vendors to elicit requirements and implement solutions
• Manage a team responsible for implementation, architecture and ongoing support of the customer data and analytics platform
• Review technical designs different vendor teams produce for accuracy and best practice adherence
• Oversee development phases to ensure the code produced is of highest quality and adherence to architectural standards

• Design and implement scalable data architecture to support comprehensive customer profile analysis and AI-driven prospect identification
• Develop sophisticated data enrichment pipelines to maximize value from existing customer data profiles
• Architect first-party cookie tracking and behavioral analytics systems for prospect identification and profile building
• Implement AI/ML models for prospect scoring, lookalike modeling, and behavioral prediction using existing customer data
• Establish advanced data integration patterns for combining first-party data with AI-powered insights
• Ensure data quality, governance, and compliance across all customer profiles and prospect identification activities
• Design privacy-compliant data collection strategies that maximize prospect identification while respecting user consent

• Manage customer data platforms (CDP) with focus on existing profile optimization and AI-enhanced prospect identification
• Oversee advanced customer identity resolution and progressive profiling techniques to maximize existing data utility
• Implement AI-powered analytics capabilities including predictive modeling, lookalike audiences, and behavioral clustering from existing customer data
• Deploy first-party cookie solutions for anonymous visitor tracking and prospect identification workflows
• Develop and maintain AI/ML pipelines for continuous prospect scoring and profile enrichment
• Ensure platform scalability to handle real-time prospect identification and profile enhancement at scale
• Optimize existing data profiles through advanced segmentation, propensity modeling, and…