Remote Process and Operations Manager

Summary

Join Liminal as Process and Operations Manager to optimize data operations, ensure operational efficiency, and oversee daily activities. This role requires a detail-oriented, analytical, and proactive individual with experience in process improvement and operational management.

Requirements

• Proven experience in process improvement and operational management, preferably in a technology or market intelligence company
• 5+ years of experience
• Strong analytical, problem-solving, and project management skills
• Proficiency in process improvement methodologies (e.g., Lean, Six Sigma)
• Familiarity with data operations and AI/machine learning processes
• Ability to create and manage detailed process maps
• Ability to identify process improvement opportunities based on staff interviews
• Bachelor's degree in business administration, operations management, data science, or a related field

Responsibilities

• Analyze Current Processes: Evaluate existing data operations to identify inefficiencies and areas for improvement
• Develop and Implement Solutions: Design and implement process improvements to enhance efficiency and productivity in data operations
• Monitor Performance: Track and analyze key performance indicators (KPIs) to assess the impact of process changes on data operations
• Daily Operations Oversight: Manage and oversee daily data operations to ensure smooth and efficient functioning
• Resource Allocation: Coordinate resource allocation to meet operational demands and optimize productivity
• Problem Resolution: Address operational issues promptly and effectively to minimize disruptions in data operations
• Project Planning: Develop project plans, timelines, and milestones for operational initiatives in data management
• Execution and Monitoring: Execute projects according to plan, monitor progress, and adjust as needed to stay on track
• Stakeholder Communication: Communicate project status and updates to stakeholders, ensuring transparency and alignment
• Model Development Support: Functionally support the development and refinement of AI and machine learning models through effective data operations
• Data Tagging and Preparation: Oversee news and event tagging, call transcription, and other data preparation activities for model training
• Team Leadership: Manage a large team based in the Philippines and Portugal, fostering a culture of continuous improvement and collaboration
• Training and Development: Mentor and develop team members, ensuring they have the skills and knowledge needed to perform their roles effectively
• Performance Management: Conduct regular performance reviews and provide feedback to team members