Manager, Customer Data – Marketing Technology Organization; Hybrid
Job in
Akron, Summit County, Ohio, 44329, USA
Listed on 2025-12-02
Listing for:
Signet Jewelers Limited
Full Time
position Listed on 2025-12-02
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, AI Engineer, Data Science Manager
Job Description & How to Apply Below
We have many opportunities available on our other career site pages. Click to link to our careers page!
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, 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…
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