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.
