Director of Operations

As the Director of Operations, you will play a critical leadership role in this next phase of the journey. Your primary goal will be to ensure the smooth, scalable, and impactful functioning of data operations, as well as the satisfaction of two key customer segments: clients and workers.

Key Responsibilities:

• Leadership: Lead and manage overall data operations, implementing policies that enhance efficiency and scalability across teams
  
• Process Optimisation: Continuously streamline operational processes to eliminate bottlenecks, ensuring seamless work delivery to workers and timely, high-quality data to clients
  
• Strategy: Leverage insights from within organization and the broader data ecosystem to develop a robust operating model. Conceptualise and execute a worker acquisition & mobilisation strategy
  
• Mentorship: Inspire, lead and mentor a diverse team and help drive their growth journey supported by OKRs and KPIs
  
• Collaboration: Collaborate with technology, design, and impact teams to improve the platform and meet organisational needs ownership .Serve as the final point of accountability on all things operations.
  
• Reporting: Regularly update leadership on the health of the workforce, project timelines, and budget metrics, identifying areas for improvement

Must-Have Skills & Qualifications:

• Proven experience in leading large-scale operations
• Expertise in designing and optimizing scalable and lean operational processes and a knack for problem-solving
• Strong people management skills with the ability to lead diverse, cross-functional teams
• Comfort and experience with technology, with a focus on using tech-driven solutions to scale operations
• Strong communication skills (both oral and written) for stakeholder management and team collaboration
• A deep commitment to core values of dignity, empathy, and rigour

Nice-to-Have Skills:

• Previous experience working in the gig economy or with social enterprises
• Knowledge of OKR-based performance tracking
• Experience in mentoring teams to drive collaboration and productivity
• Lived or professional experience in communities serves
• Knowledge and experience in AI and data labelling operations