Data Processing Team Lead

2 months ago

Johannesburg, Gauteng, South Africa PST Full time
Job Description

We are seeking a detail-oriented and experienced Team Lead Data Processing to join our data operations team at PST. As a Team Lead Data Processing, you will play a crucial part in developing new processes and workflows for our Data Entry Specialists, coordinating their work, managing workloads, and serving as a liaison between our Regulation Managers/Researchers and Data Entry Specialists.

Key Responsibilities:
  • Task Management: Communicate tasks assigned by the company's Regulation Managers to the Data Entry Specialists.
  • Schedule Management: Organize the working schedules of the Data Entry Specialists.
  • Workflow Coordination: Liaise with all workflow participants and act as the point of contact to progress actions.
  • Documentation: Provide and maintain documentation.
  • Process Improvement: Implement, optimize, and automate workflows.
  • Requirements Writing: Write requirements for other teams.
  • Training and Development: Conduct individual coaching and group training sessions.
  • Quality Assurance: Perform quality checks.
  • Team Management: Manage your team.
  • Reporting: Provide reports on the progress of list processing and results of individual Data Entry Specialists.
  • Training and Onboarding: Train new Data Entry Specialists on the workflows.
Requirements:
  • Education: Bachelor's or Master's degree in project management or a related field.
  • Experience: 3+ years of experience as a project coordinator/manager, preferably with both Data Entry Specialist and non-Data Entry Specialist teams.
  • Skills: Experience in managing workflows and organizing team members in different time zones, experience in working with multiple stakeholders, experience in conducting coaching, mentoring, and training sessions in a remote form, ability to lead and organize a team for maximum efficiency, and strong attention to detail.
Preferred Qualifications:
  • Process Improvement: Experience in implementing changes and testing the results.
  • Technical Knowledge: Understanding of large language models.
  • Linguistic Skills: Knowledge of additional languages.

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