Signet Jewelers
Manager, Customer Data – Marketing Technology
Signet Jewelers, Dallas, Texas, United States, 75215
Manager, Customer Data – Marketing Technology
Locations: Dallas, TX or Akron, OH (Hybrid)
RESPONSIBILITIES
Lead comprehensive data engineering effort to maximize existing customer data profiles and deliver a unified view across all touch points
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
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
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
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
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
401(k) matching after one year of employment
Generous time off + company holidays
Much more!
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Retail
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RESPONSIBILITIES
Lead comprehensive data engineering effort to maximize existing customer data profiles and deliver a unified view across all touch points
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
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
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
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
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
401(k) matching after one year of employment
Generous time off + company holidays
Much more!
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Retail
#J-18808-Ljbffr