Manager, Customer Data – Marketing Technology Organization (Hybrid)
- Akron, OH
- Permanent
- Full-time
- 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 lifecycle analysis
- Drive continuous improvement of AI algorithms and first-party data collection strategies
- 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
- 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
- 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!