Director, Analytics Standards & Impact Measurement

Novartis UK

East Hanover, NJ, USA
$194,600.00 - $361,400.00; performance-based cash ...
Hybrid
Ai/ml validity and regulatory compliance
Measurement frameworks for analytics impact
Data science standards for citizen data scientists
This role is responsible for establishing enterprise-wide standards for advanced AI, ML, and data science rigor, defining measurement frameworks, and quantifying the business impact of all analytics and AI initiatives across Commercial Analytics

Job Summary

  • This role is responsible for establishing enterprise-wide standards for advanced AI, ML, and data science rigor, defining measurement frameworks, and quantifying the business impact of all analytics and AI initiatives across Commercial Analytics.
  • By ensuring that analytics outputs meet the highest standards of AI/ML validity, regulatory compliance, and business value, this director enables democratized, trustworthy analytics at scale while measuring and communicating the return on analytics investments.
  • US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits.

Matching Summary

This role is responsible for establishing enterprise-wide standards for advanced AI, ML, and data science rigor, defining measurement frameworks, and quantifying the business impact of all analytics and AI initiatives across Commercial Analytics.

Salary

$194,600.00 - $361,400.00; Performance-based cash incentive and annual equity awards; Comprehensive benefits package including health, life, disability, 401(k), and generous time off

Skills & Requirements

Must-have

  • AI/ML validity and regulatory compliance
  • measurement frameworks for analytics impact
  • data science standards for citizen data scientists
  • model validation protocols and quality gates
  • production-readiness criteria for AI/ML models

Nice-to-have

  • systems thinker balancing rigor and business needs
  • building communities of practice
  • enabling citizen data scientists
  • strong business acumen for ROI communication

Key Requirements

  • 10+ years of experience in data science, machine learning, advanced analytics, or AI development
  • 5+ years of leadership experience setting AI/ML standards
  • Advanced degree in Data Science, Machine Learning, Statistics, or related quantitative field
  • Deep knowledge of pharmaceutical analytics and regulatory environment

Work Rights

Not specified

Tailored Resume

Cover Letter