Operations Manager/ Data Ops Manager (Robotic Operations)

Job Description

Job Title: Data Operations Manager
Location: Remote (Open to candidates from the Philippines, Latin America, South Africa)
Work Hours: Initially East Coast (9 AM - 6 PM ET), shifting to West Coast in a few months
Employment Type: Full-time

About the Role

We are seeking a Data Operations Manager to oversee a growing team of contractors responsible for managing robotic operations. This role is essential for ensuring smooth workforce scheduling, recruitment, payroll validation, and data analysis to optimize operational efficiency.

Key Responsibilities

Workforce & Scheduling Management

• Optimize scheduling for 10 stations operating across 2 shifts/day, 7 days a week
• Ensure full shift coverage, handle last-minute changes, and balance workforce efficiency
• Monitor and adjust staffing plans based on workload and productivity trends

Recruitment & Onboarding

• Manage top-of-funnel hiring through Indeed and other platforms
• Screen applicants, schedule and oversee trial shifts for new hires
• Coordinate with hiring teams to assess candidate performance and ensure smooth onboarding

Payroll & Compliance

• Validate contractor timesheets (1-2 hours per week) to ensure accurate payments
• Work closely with finance and HR teams to streamline payroll processes

Data Analysis & Performance Tracking

• Clean and analyze operator productivity data to identify trends and improve efficiency
• Prepare and maintain weekly workforce reports (e.g., task completion, hours worked, operator performance metrics)
• Provide insights and recommendations for optimizing workforce operations

Requirements

Must-Haves:

• Advanced Excel skills (pivot tables, formulas, data cleaning, analysis)
• Background in data analysis, workforce management, or operations
• Ability to multitask, handle dynamic scheduling changes, and solve problems efficiently
• Strong communication and coordination skills
• Cultural fit with a research-driven, fast-paced environment

Nice-to-Haves:

• Experience in data science, analytics, or engineering
• Familiarity with recruiting platforms (Indeed, LinkedIn, etc.)
• Prior experience managing contract workforce teams

Benefits

Compensation Package:

• Remote Work: Fully remote—work from anywhere
• Direct Mentorship: Grow through guidance from international industry experts
• Learning & Development: Ongoing access to resources for professional growth
• Global Networking: Work and connect with professionals around the world
• Work-Life Balance: Flexible hours that support a healthy work-life balance

Our Recruitment Process:

1. Application
2. Screening
3. Skills Assessment
4. Top-grading interview
5. Client Interview
6. Job Offer
7. Client Onboarding

Ready to Join Us?

If this role aligns with your skills and career goals, we’d love to hear from you. Apply now to take the next step in your journey with Pearl.