Drimva

Novartis

ED, Portfolio & Resource Analytics

$237K–$439K

East Hanover · Full-time · Posted Oct 27, 2026

Experience
Minimum 10+ years in a specified field within pharmaceutical or healthcare; minimum 5+ years of people management.
Education
Bachelor’s degree in Business Administration, Finance, Economics, Engineering, or a related field; an MBA or advanced degree is preferred.

About the job

Leads Novartis’ US enterprise analytics capability, shaping performance reporting, investment and resource guidance, and executive decision-making across therapeutic areas and business functions.

What you'll do

  • Lead Enterprise & Functional Excellence and Enterprise Resource Optimization capability areas, setting standards for reporting, KPIs, and investment guidance.
  • Own executive-level performance review processes, including Monthly Business Review, Performance Pulse, and Functional Business Reviews.
  • Partner with Finance, the Office of the NVS US President, Strategy, and modeling leadership on enterprise performance and investment matters.

What they ask for

  • 10+ years in enterprise analytics, business performance, resource allocation, strategic finance, or management consulting within the pharmaceutical or healthcare industry.
  • 5+ years of people management experience, including leading experienced managers and building senior talent.
  • Demonstrated experience establishing enterprise standards, methodologies, or reporting ecosystems adopted across a large, matrixed organization.
  • Experience partnering directly with Finance leadership on performance, investment, budget, or headcount matters.

Nice to have

  • Management consulting experience at a top-tier firm or comparable internal strategy leadership experience; working knowledge of the US pharmaceutical commercial model and its data and analytics ecosystem.
  • Familiarity with GenAI and AI-enabled approaches to reporting, investment analysis, and process modernization.

Pay

$236,600.00 - $439,400.00 per year (base salary)

AI focus

Familiarity with GenAI and AI-enabled approaches to reporting, investment analysis, and process modernization is desirable.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)