Team Lead (Data Conversion)

Position Overview

Oversees the end-to-end data conversion lifecycle —from extraction and mapping to transformation, validation, and delivery. This role ensures operational efficiency, high-accuracy data quality, and strong client relationships across complex data pipelines.

Key Responsibilities

• Data Lifecycle Oversight: Manage end-to-end data transformation, mapping, cleansing, and validation workflows across structured and unstructured datasets.
• Process & SLA Optimization: Analyze client specs to streamline pipelines, implement automation, shorten turnarounds, and maintain strict SLA/data governance standards.
• Team Leadership: Direct, mentor, and capacity-plan for team leaders and data specialists to meet high accuracy and throughput targets.
• Client Management: Serve as an operational contact for client reports, project updates, and quality improvement initiatives.

Qualifications

• Leadership Experience: Minimum 3 years in a team lead or supervisory role within a BPO or data-centric operation.
• Domain Expertise: Strong grasp of the data conversion lifecycle (ETL, schema mapping, data validation, and unstructured-to-structured processing).
• Education: Bachelor’s degree in Computer Science, Data Management, IT, Engineering, Math, or a related field.
• Skills: Strong analytical, process-mapping, and client communication abilities.

Preferred Qualifications

• Exposure to automation tools, scripting, or AI-assisted data extraction.
• Background in Lean Six Sigma or process optimization.
• Experience managing large-scale document or digital asset conversion projects.