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Data Driven Business Leader

1 week ago

Cebu City, Central Visayas, Philippines Lifewood Data Technology Ltd. Full time
About the Role

This is an exciting opportunity for an experienced operations manager to join our team and contribute to the success of Lifewood Data Technology Ltd. The successful candidate will be responsible for overseeing the day-to-day operations of the company, ensuring that all processes run smoothly and efficiently. This includes managing daily operations, identifying areas for improvement, and implementing strategies to enhance efficiency and scalability.

Key Responsibilities:
  1. Operational Leadership:
    Lead and manage daily operations to ensure smooth execution of AI projects, from development to deployment.
  2. Process Improvement:
    Identify areas for operational improvements and implement strategies to enhance efficiency and scalability.
  3. Team Management:
    Oversee operations staff, assigning tasks, monitoring performance, and facilitating professional development.
  4. Project Management:
    Ensure that AI projects are delivered on time and within budget, coordinating efforts between various teams and departments.
  5. Budgeting & Cost Management:
    Develop and manage operational budgets to ensure the financial efficiency of AI operations.
  6. Compliance & Risk Management:
    Ensure adherence to data privacy laws, AI ethics, and regulatory compliance across all operational processes.

Qualifications:
  1. Bachelor's degree in Business, Operations Management, Engineering, or a related field (Master's preferred).
  2. 5+ years of experience in operations management, preferably in the AI or tech industry.
  3. Solid understanding of AI technologies, machine learning pipelines, and data science workflows.
  4. Experience with project management software and operational metrics tools.
  5. Strong leadership, communication, and problem-solving skills.
  6. Ability to manage multiple projects in a fast-paced, dynamic environment.
  7. Familiarity with regulatory compliance in AI ethics and data privacy (GDPR, CCPA).