Design, maintain, and improve company and contact entity workflows, SOPs, SLAs, and quality standards
Define and track KPIs for team efficiency, business impact, financial stewardship, and client satisfaction
Oversee entity creation, updates, merges, conflict resolution, and exception handling
Partner with automation, engineering, and data science to integrate and optimize human-in-the-loop and machine-assisted processes
Analyze performance patterns to identify automation gaps, reduce manual interventions, and continuously improve processes
Lead, mentor, and develop CEM team members
Establish performance expectations, work allocation, and capacity planning
Manage relationships with third party data providers and offshore vendors
Collaborate closely with Engineering, Product, Sourcing, and Sales to align CEM standards with business and platform needs
Participate in roadmap discussions, attribute model design, and classification/taxonomy updates
Requirements
7+ years of experience in data operations, master data management, digital operations, or business transformation
2+ years managing teams
Proven experience managing both onshore and offshore teams
Experience with SQL and/or Python programming
Advanced problem solving and data driven decision making capabilities
Proven record of managing external vendor relationships
Ability to translate technical concepts into actional business insights for non-technical stakeholders
Experience with automation tools, scraping frameworks, and data pipelines
Exposure to data operations utilizing machine learning and data enrichment techniques
Proficiency in data governance, KPI management, and quality assurance
Strong project management skills, including planning, prioritization, and execution of change management
Excellent written and verbal communication skills for presenting strategies, reporting performance metrics, and building relationships with stakeholders.