Data Entry Supervisor

Overview

Insight Genesis – IGAi is an innovative technology firm utilizing cutting-edge AI algorithms to forecast human behavior and provide tailored, actionable insights. The company addresses the challenges of scattered guidance access across finance, career, education, and health sectors, focusing on emerging and unbanked populations. Their integrated platform consolidates financial, human resources, educational, and wellness data into a single intelligent system, enabling individuals and organizations to make data-backed decisions that enhance life outcomes and operational effectiveness. Team members contribute to developing scalable, ethical AI solutions for a diverse global audience.

Role Summary

The Data Entry Supervisor position is a full-time, remote opportunity responsible for overseeing the daily data entry operations critical to feeding the company's AI-powered platforms. Key duties include allocating and supervising workload assignments, ensuring data accuracy and completeness, reviewing datasets to maintain quality standards, and establishing procedures aimed at reducing errors and improving process efficiency. The supervisor will also train and mentor data entry personnel, resolve operational challenges, and communicate expectations and performance feedback clearly. Coordination with analytics, product development, and support teams is essential to align data entry workflows with company policies and compliance standards.

Qualifications

• Proven supervisory experience with capabilities in team coordination, performance management, and coaching.
• Strong interpersonal skills paired with excellent customer service to assist team members and internal stakeholders.
• Excellent analytical abilities to assess data quality, detect patterns, and recommend workflow enhancements.
• Effective written and verbal communication competency for policy documentation, reporting, and feedback delivery.
• Experience managing data entry teams or back-office functions, preferably within technology, finance, or related domains.
• High attention to detail, organized work approach, and proficiency in spreadsheets, data entry software, and foundational database knowledge.
• Capability to work independently in a remote environment, manage priorities effectively, and adhere to deadlines within a dynamic, fast-paced context.
• An associate or bachelor's degree in business, information systems, or a related field, or commensurate practical experience.