Skip to content

Executive Director, Analytics Engineering

Novartis LogoNovartis
Apply View Organization

Salary

$236,600 - $439,400

Location

Remote (USA)

Posted

Today

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.

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, especially with technical and non-technical stakeholders.

Preferred requirements

  • 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.

‌