Liminal is hiring a
Process and Operations Manager, Remote - United States

Logo of Liminal

Process and Operations Manager

🏢 Liminal

💵 ~$85k-$95k
📍United States

Summary

The job is for a Process and Operations Manager at Liminal, a global market intelligence and strategic advisory firm specializing in digital identity, financial crime, compliance, and IT security. The role involves optimizing data operations, overseeing daily activities, managing projects, supporting AI/machine learning model development, and leading a team based in the Philippines and Portugal.

Requirements

  • Proven experience in process improvement and operational management, preferably in a technology or market intelligence company
  • Experience with data operations and AI/machine learning model development support is highly desirable
  • 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
  • Should be able to create and manage detailed process maps
  • Identify process improvement opportunities based on staff interviews
  • Detail-oriented, proactive, and highly organized
  • Excellent communication and leadership skills
  • Bachelor's degree in business administration, operations management, data science, or a related field

Responsibilities

  • Optimize data operations and ensure operational efficiency across various functions
  • Oversee all data operations, including market research, regulatory and policy research, call transcription, news and event tagging for machine learning model development, and more
  • Identify areas for improvement, implement effective solutions, and ensure the smooth operation of daily activities
  • Manage and oversee daily data operations to ensure smooth and efficient functioning
  • Coordinate resource allocation to meet operational demands and optimize productivity
  • Address operational issues promptly and effectively to minimize disruptions in data operations
  • Develop project plans, timelines, and milestones for operational initiatives in data management
  • Execute projects according to plan, monitor progress, and adjust as needed to stay on track
  • Communicate project status and updates to stakeholders, ensuring transparency and alignment
  • Functionally support the development and refinement of AI and machine learning models through effective data operations
  • Oversee news and event tagging, call transcription, and other data preparation activities for model training

Benefits

  • Manage a large team based in the Philippines and Portugal
  • Fostering a culture of continuous improvement and collaboration
  • Mentor and develop team members
  • Conduct regular performance reviews and provide feedback to team members

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