Executive Director, Analytics Engineering
About The Position
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.
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 standards, governance, or platform capabilities.
- Strong cross-functional experience, ideally within Commercial, Medical, or Market Access analytics in life sciences or a regulated industry.
- Experience with analytics engineering, BI tooling, and data infrastructure concepts.
- Excellent communication and influence skills, especially with technical and non-technical stakeholders.
Nice To Haves
- Systems thinker with a deep understanding of how analytics drive decisions across an enterprise.
- Builder mindset: enjoys creating structure from ambiguity and scaling impact.
- Comfortable balancing strategic design and operational execution.
- Deep understanding of data lifecycle, from data ingestion to decision-making impact.
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.
Benefits
- health, life and disability benefits
- a 401(k) with company contribution and match
- a variety of other benefits
- a generous time off package including vacation, personal days, holidays and other leaves
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What This Job Offers
Job Type
Full-time
Career Level
Executive
