ED, Head of Analytics Engineering

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 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 with technical and non-technical stakeholders.

Preferred Qualities:
- Systems thinker with a deep understanding of how analytics drive decisions across an enterprise.
- Builder mindset: creating structure from ambiguity and scaling impact.
- Comfort balancing strategic design and operational execution.
- Deep understanding of data lifecycle, from data ingestion to decision-making impact.