Head Of Operations

Overview

• Lead the development and execution of a global operating model, ensuring alignment with organizational strategy and operational excellence.
• Drive end-to-end delivery across data programs and robotics deployments, focusing on quality, speed, and cost efficiency.
• Build and scale a high-performing operations team, including program managers, analysts, and deployment leaders.
• Establish operational intelligence frameworks, including KPIs, dashboards, and board reporting systems.
• Develop risk frameworks and compliance measures to ensure operational resilience and regulatory adherence.
• Collaborate with cross-functional leaders to translate strategic priorities into operational outcomes.
• Foster a culture of innovation and continuous improvement within the operations team.

Key Responsibilities & Duties

• Design and implement the company-wide operating model, including governance, KPIs, and decision frameworks.
• Manage the operating cadence through structured business reviews and strategic roadmaps.
• Oversee program delivery, ensuring alignment with customer expectations and operational goals.
• Develop and mentor team members, building a robust management layer and fostering leadership growth.
• Implement operational intelligence systems for near-real-time reporting and decision-making.
• Establish risk management frameworks to mitigate operational and regulatory risks.
• Collaborate with executive leaders to align operations with strategic objectives and company vision.
• Drive operational efficiency through systemization and automation initiatives.

Job Requirements

• Bachelor of Science (BS) degree in a relevant field is required.
• Minimum of 7 years in senior operations leadership roles, including Head of Operations or equivalent.
• Proven experience in scaling teams and managing distributed, multi-site operations.
• Demonstrated ability to design and implement operating models and governance frameworks.
• Strong background in robotics, AI/ML, or operationally complex industries is preferred.
• Fluency in data analysis tools such as SQL or Python is advantageous.
• Exceptional communication skills and ability to lead in ambiguous environments.
• Experience in international operations and managing vendor ecosystems is a plus.