Executive Director, Analytics Engineering

### Summary

#LI-Remote

The ED, Analytics Engineering will collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. We are seeking a visionary and pragmatic leader to build and institutionalize the foundation for analytics at scale. This role will architect the systems, standards, and capabilities that enable high-quality, consistent, and scalable analytics across our organization. By defining frameworks, ensuring rigor, and connecting cross-functional efforts, this leader will make analytics a repeatable, trusted, and efficient enterprise capability.

This position can be based remotely anywhere in the U.S. Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the Hiring Manager. ### About the Role

Key Responsibilities

• Establish and champion analytics rigor, including statistical standards, validation protocols, and QA practices.
• Define enterprise-wide frameworks for measurement, performance metrics, and reporting standards.
• Enable cross-functional synergy by connecting analytics efforts across Commercial, Medical, Market Access, and other domains.
• Institutionalize analytics engineering as a core discipline, including reusability of data pipelines, analytics automation, and production-grade analytics solutions.
• Develop scalable capabilities that allow solutions to be transferred across use cases quickly and effectively.
• Support governance and compliance, ensuring analytical outputs meet regulatory and ethical standards.

Essential Requirements

• Bachelor's or master’s degree in business administration, Computer Science, Engineering, or a related field.
• 10+ years of experience in data/analytics, with demonstrated success in building scalable systems or frameworks.
• Proven track record of establishing analytics standar