Data Collection Ops Lead & Quality Mentor

Global Connect Technologies

Los Angeles (CA)

On-site

USD 100,000 - 150,000

Full time

14 days+

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Job summary

Global Connect Technologies seeks a Project Lead & Quality Expert to supervise data collection operations, ensure compliance, and mentor a team through end-to-end projects. You will review processes, drive quality improvements, and coordinate with clients and stakeholders to resolve blockers and optimize performance.

The role requires strong communication, technical editing, and experience with firmware deployment and data tooling. Flexible scheduling and leadership across projects are expected.

Qualifications

  • Graduate degree or higher; Master preferred; PhD preferred.
  • Experience leading teams or acting as a Team Lead.
  • Strong debugging, data validation, and process improvement skills.
  • Proficient with shell commands and data sheets
  • Ability to mentor and drive quality across multiple projects.

Responsibilities

  • Supervise data collection processes from prep to quality control.
  • Audit and ensure compliance with client expectations and process norms.
  • Mentor and guide project associates; provide feedback and training.
  • Coordinate project start-up, scope, risks, and cadence with stakeholders.
  • Track metrics, prepare trend reports for business reviews.
  • Lead weekly project meetings and oversee artifact upkeep.

Skills

Shell environments
Command-line operations
Technical editing
Firmware deployment
Team leadership / mentoring
Google Sheets/Docs

Education

Graduate degree (Master preferred)
PhD preferred

Job description

Global Connect Technologies seeks a Project Lead & Quality Expert to supervise data collection operations, ensure compliance, and mentor a team through end-to-end projects. You will review processes, drive quality improvements, and coordinate with clients and stakeholders to resolve blockers and optimize performance.

The role requires strong communication, technical editing, and experience with firmware deployment and data tooling. Flexible scheduling and leadership across projects are expected.

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