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).