Operation Manager

Job Overview:

The Operations Manager will oversee the day-to-day operations of the company, ensuring that the processes supporting AI development, product delivery, and client engagement run efficiently and effectively. This role requires a balance of operational expertise, technical understanding of AI, and strategic thinking to support business growth and innovation.

Key Responsibilities:

Operational Leadership:

• Lead and manage daily operations to ensure smooth execution of AI projects, from development to deployment.
• Streamline operational processes, including product development cycles, data collection, and machine learning model training.
• Monitor KPIs to assess the performance of AI systems and optimize workflows accordingly.

Process Improvement:

• Identify areas for operational improvements and implement strategies to enhance efficiency and scalability.
• Automate repetitive processes using AI-driven solutions.
• Collaborate with cross-functional teams (engineering, data science, product) to ensure alignment in operational processes.

Team Management:

• Oversee operations staff, assigning tasks, monitoring performance, and facilitating professional development.
• Foster a culture of continuous improvement, innovation, and operational excellence.

Project Management:

• Ensure that AI projects are delivered on time and within budget, coordinating efforts between various teams and departments.
• Manage external partnerships and vendor relationships, ensuring they align with company objectives.

Budgeting & Cost Management:

• Develop and manage operational budgets to ensure the financial efficiency of the AI operations.
• Forecast operational costs for AI infrastructure, tools, and human resources.

Compliance & Risk Management:

• Ensure adherence to data privacy laws, AI ethics, and regulatory compliance across all operational processes.
• Identify and mitigate risks associated with AI operations, including data security and AI model performance.

Qualifications:

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