Data Management Specialist

​Role/Skill: Data Management Specialist

Role Overview

The L2 Customer Data Management Specialist plays a critical role in managing customer data onboarding, integration, and ongoing maintenance across enterprise systems. The role requires strong analytical skills, attention to detail, and a proactive approach to ensuring data accuracy, integrity, and compliance with customer-defined policies. The individual will work closely with internal teams and customers to manage high-volume data operations while continuously improving processes and quality.

Key Responsibilities

• Manage end-to-end customer data onboarding and integration across enterprise systems.

• Ensure customer data is captured, validated, and maintained accurately in line with defined data policies.

• Handle high-volume and time-sensitive data processing with a strong focus on quality and turnaround time.

• Monitor data accuracy, completeness, and integrity throughout the customer data lifecycle.

• Perform root cause analysis for data issues and implement preventive measures.

• Monitor systems for performance issues and coordinate with support teams for resolution.

• Adhere to SOPs and drive continuous process improvement.

• Leverage automation and AI-enabled tools to optimize data management processes.

• Communicate clearly with internal and external stakeholders.

Required Skills & Qualifications

• Experience in customer data management or enterprise data operations.

• Strong analytical and problem-solving skills.

• Hands-on experience with data management platforms or SaaS environments.

• Understanding of data governance, security, and privacy practices.

• Familiarity with SOP-driven and ticket-based support environments.

• Proficiency in Excel or reporting tools.

• Strong written and verbal communication skills.

• Ownership mindset, attention to detail, and adaptability.

Why Join

Opportunity to work in a global delivery environment with exposure to enterprise-scale data operations, continuous learning, and process optimization initiatives.