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ED, Head of Analytics Engineering

Novartis LogoNovartis
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Salary

$214,900.00 to $399,100.00

Location

East Hanover, NJ

Posted

Yesterday

The Insights and Decision Science (IDS) team is dedicated to enabling improved decision-making at Novartis by leveraging data and advanced analytics capabilities to generate actionable insights that drive business growth. We 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 Qualities:

  • 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.

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