Manager, Regulatory Intelligence

• Lead, coach, and develop a team of Data Solutions Coordinators
• Provide clear priorities, guidance, feedback, and performance management
• Oversee global regulatory monitoring activities across 150+ countries
• Ensure relevant regulatory developments are identified, evaluated, and processed accurately and on time
• Guide assessment of regulatory developments, including industry scope, GxP applicability, operational impact, and classification decisions
• Maintain standards for structured regulatory data, including metadata accuracy, effective dates, consultation deadlines, enforcement timelines, and document relationships
• Establish and monitor team KPIs covering productivity, quality, accuracy, and turnaround times
• Address performance gaps and improve team performance
• Manage team workload, resource allocation, and priorities
• Work with Product, Engineering, and other internal teams to improve monitoring capabilities, classification logic, quality controls, and workflows
• Identify opportunities to use AI, automation, and other technologies to improve the efficiency, consistency, and scalability of regulatory intelligence operations

• Familiarity with Regulatory Affairs, Quality Assurance, GxP, or Regulatory Intelligence within Pharmaceutical, Biologics, Medical Device, or Animal Health industries
• Previous experience leading, supervising, or managing teams, with demonstrated responsibility for work quality, performance, and delivery
• Strong understanding of GxP principles and global regulatory frameworks, including the ability to interpret regulatory language and assess industry impact
• Experience overseeing regulatory monitoring, intelligence gathering, data classification, or compliance-related operations
• Demonstrated ability to establish quality standards, manage operational KPIs, and improve team workflows
• Comfortable working with technology-enabled processes, data platforms, and AI or automation tools
• A Master's degree in Regulatory Affairs, Pharmaceutics, Quality Assurance, or a related discipline is preferred
• Clear, concise communication across multiple platforms
• Ability to make good and timely decisions in data operations
• Ability to enhance and streamline data processes
• Understanding of business context to inform data decisions
• Basic understanding of current technologies used in data operations and openness to adopting new technologies
• Ability to lead, supervise, or manage teams

• Employees can work remotely