Shulman Fleming & Partners · 4 days ago
Data Steward & Analytics Lead – Research CRM Optimization
Shulman Fleming & Partners is seeking a Data Steward & Analytics Lead to transform how Sales & Research Departments manage and leverage data. The role focuses on data integrity, governance, and optimizing readership analytics while driving automation through AI and advanced data science techniques.
Staffing & Recruiting
Responsibilities
Manage CRM data integrity across platforms like Prism
Develop automated workflows for employment changes, client creation, and duplicate detection
Implement AI-driven tools for data quality checks and anomaly detection
Deploy advanced analytics models for actionable insights
Build predictive models for high-value contacts
Integrate readership data from BlueMatrix, Factset, Capital IQ, etc
Automate unsubscribe workflows using AI/NLP
Create self-service tools for subscription preferences
Use machine learning to identify and block sell-side contacts
Implement monitoring systems for BTS email transfers
Use AI-driven anomaly detection for delivery failures
Qualification
Required
MUST be local to New York City, Hybrid Schedule
No Sponsorship Available
CRM system expertise a MUST
Data integrity and governance
Optimizing readership analytics
Driving automation through AI and advanced data science techniques
Integration with third-party platforms
Manage CRM data integrity across platforms like Prism
Develop automated workflows for employment changes, client creation, and duplicate detection
Implement AI-driven tools for data quality checks and anomaly detection
Deploy advanced analytics models for actionable insights
Build predictive models for high-value contacts
Integrate readership data from BlueMatrix, Factset, Capital IQ, etc
Automate unsubscribe workflows using AI/NLP
Create self-service tools for subscription preferences
Use machine learning to identify and block sell-side contacts
Implement monitoring systems for BTS email transfers
Use AI-driven anomaly detection for delivery failures
Technical Expertise: Python, AI/ML techniques, data science workflows
CRM Knowledge: Deep understanding of CRM systems like Prism
Data Management: Governance and quality assurance
Analytical Mindset: Translate complex data into actionable insights
Collaboration: Work closely with research, sales, and IT teams