
Manager, Data Operations at Uberall (Philippines)
Uberall· Philippines·
Role details
Work type
Remote
Employment
Full-Time
Level
Manager
Job description
We are seeking an experienced Manager to lead our Night Shift of the Data Operations team and drive operational excellence. The ideal candidate will have 2 to 4 years of proven experience managing teams in a fast-paced operational environment, with a strong track record of optimizing workflows, overseeing high-volume processes, and ensuring efficient, reliable execution across the organization.
Working hours: Monday to Friday from 10pm to 7am local PH time (night shift)
Key Responsibilities:
- Team Leadership: Oversee a team of operations professionals by providing guidance, coaching, and mentorship to foster high performance, professional development, and strong employee engagement.
- Operational Strategy: Contribute to the development and execution of the team’s operational strategy. Implement policies and procedures designed to optimize efficiency, productivity, and customer satisfaction.
- Process Improvement: Identify and implement opportunities for process enhancements, automation, and streamlined workflows to drive operational excellence and maximize resource utilization.
- Resource Management: Plan and allocate resources to meet operational targets effectively, including workforce scheduling, workload distribution, and capacity planning.
- Performance Management: Establish clear performance objectives, track key performance metrics, and provide regular feedback to team members. Address any performance gaps proactively.
- Quality Assurance: Develop and enforce quality control measures to ensure accuracy, adherence to standards, and regulatory compliance.
- Reporting and Analysis: Create and maintain regular operational reports. Analyze data to uncover trends, identify bottlenecks, and pinpoint areas for improvement, presenting insights to senior management.
What We’re Looking For:
- A results-driven manager with at least 2 years of experience leading teams in data operations, quality assurance, data entry or a related field.
- Proven ability to drive team performance, set clear goals, and motivate team members to achieve excellence across diverse tasks.
- Strong background in process automation and optimization, with hands-on experience identifying efficiency gaps and implementing scalable solutions.
- Exceptional analytical skills, capable of resolving complex data discrepancies and translating findings into actionable insights.
- Skilled in coaching, training, and mentoring team members to build capability and foster continuous improvement.
- Experienced in quality assurance and audit processes, with the ability to synthesize results into meaningful reports for stakeholders.
- Demonstrates a proactive, organized, and solution-oriented mindset, balancing multiple priorities while maintaining high standards.
- Excellent communication skills in English, both written and verbal.
- Advanced knowledge of Google Sheets and related automation tools is a strong plus.
Why work at Uberall
- Culture & Values: Described as "truly human culture" with high performance, openness, collaboration, and authenticity. Values include "Be Customer Obsessed," "Be Bold & Drive Change," "Demonstrate Passion & Performance," and "Grow Together." Inclusion is a core operating principle, not just a program.
- Remote/Hybrid Policy: "Choice-First environment" — employees can work from global offices or remotely; coming to an office is not required. Offices available for collaboration.
- Global & Diverse Team: Over 400 Uberallers representing 50+ nationalities across 30+ countries.
- Growth & Development: Learning Grant program, Power Skills Academy, and Leadership Foundations for continuous development.
- Compensation: Competitive benefits tailored to local markets; Long-term incentive plans through Virtual Stock Option Plan (VSOP) and Equity Plan (ESOP) for all eligible employees.
- Engineering Culture: AI-first organization with a human approach to hiring. Encourages AI fluency and curiosity; values using AI to support, not replace, human work.
- Hiring Process: Transparent, respectful process with initial chat, team interviews, culture & values interview, and structured onboarding. Human-driven decision-making at every stage.