Hybrid Manager, Customer Data – Marketing Technology Organization (Hybrid) at Signet Jewelers

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Signet Jewelers is the world's largest retailer of diamond jewelry, operating more than 2,800 stores worldwide under the iconic brands: Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples, Banter by Piercing Pagoda, Rocksbox, JamesAllen.com and Diamonds Direct. We are a people-first company and this core value is at the heart of everything we do, from empowering our valued team members, to collaborating with our customers, to fostering the communities in which we live and serve. People – and the love their actions inspire – are what drive us. We’re not only proud of the love we inspire outside our walls, we’re especially proud of the diversity, inclusion and equity we’re inspiring inside. There are dynamic career paths awaiting you – rewarding opportunities to impact the lives of others and inspire love. Join us!

Manager, Customer Data – Marketing Technology Organization

Locations: Dallas, TX or Akron, OH (Hybrid)

POSITION SUMMARY:

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.

RESPONSIBILITIES:

Strategy & Planning

• 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

Project Implementation

• 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

Data Architecture & Engineering

• 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

Platform Management & Optimization

• 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 lifecycle analysis
• Drive continuous improvement of AI algorithms and first-party data collection strategies

POSITION QUALIFICATIONS:

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or relevant field of study
• 7+ years of professional experience including project or program management with focus on data-driven customer acquisition
• Minimum 5 years of professional experience with customer data management, analytics platforms, and AI/ML implementations
• Minimum 2 years of experience driving business case development for data monetization and AI-powered solutions, including quantitative and qualitative analysis
• Minimum 3 years of hands-on experience with database design principles, modern ETL principles, BI/visualization tools, trends in Big Data, and integration with SaaS applications
• Minimum 2 years of deep experience with at least one major CDP vendor such as Adobe RTCDP, Blueconic, Tealium, Salesforce CDP, with emphasis on AI/ML capabilities
• Minimum 2 years of deep experience with web analytics platforms (Adobe Analytics or Google Analytics) including advanced tracking and behavioral analysis
• Minimum 2 years of experience with first-party data collection strategies, cookie management, and privacy-compliant tracking solutions
• Proven experience in customer profile optimization, data enrichment, and AI-driven prospect identification

Technical Skills:

• Strong expertise in SQL, Python/R, data modeling, and advanced analytics techniques
• Experience with AI-powered customer profiling, lookalike modeling, and predictive analytics
• Proficiency with first-party cookie implementation, tag management systems, and behavioral tracking technologies
• Experience with cloud ML/AI services (AWS SageMaker, Azure ML, Google AI Platform) and associated data services
• Advanced knowledge of real-time data processing, streaming technologies, and event-driven architectures for prospect identification
• Understanding of privacy-compliant data collection, GDPR/CCPA requirements, and consent management platforms
• Proficiency with customer journey mapping, attribution modeling, and cross-channel analytics
• Knowledge of advanced segmentation techniques, propensity scoring, and customer lifetime value modeling

BENEFITS & PERKS:

• Competitive healthcare, dental & vision insurance
• 401(k) matching after one year of employment
• Generous time off + company holidays
• Merchandise discount
• Learning & Development programs
• Much more!