Director, Analytics Standards & Impact Measurement
Novartis
August 23, 2026
Remote
United States
IT
Key Responsibilities:
- Define enterprise-wide AI, ML, and data science standards embedded into self-serve analytics platforms.
- Establish model validation protocols, testing frameworks, and automated quality gates for predictive models and AI solutions.
- Create standardized, templatized methodologies for common use cases (patient predictive models, HCP targeting, driver analysis).
- Define enterprise-wide frameworks to measure analytics impact (lift analysis, ROI, incrementality, business value).
- Execute impact measurement studies and report quarterly/annual ROI to leadership.
- Establish production-readiness criteria for AI/ML models (quality thresholds, documentation, approval workflows).
- Ensure outputs meet regulatory requirements (HIPAA, GDPR, promotional review) and partner on governance.
- Monitor self-serve platform outputs, conduct model audits, and provide feedback to improve quality.
Qualifications (Essential):
- Advanced degree in Data Science/ML/Statistics (or related) OR bachelor’s with 10+ years relevant experience.
- 10+ years in data science, machine learning, advanced analytics, or AI development.
- 5+ years leadership experience setting AI/ML standards and measuring impact in commercial pharma or healthcare.
- Expert knowledge of ML, causal inference, experimental design, predictive modeling, and AI validation.
- Deep knowledge of pharmaceutical analytics and AI/ML regulatory environment.
- Proficiency in data science/AI programming and AI/ML platforms.
- Proven ability to influence without direct authority; drive adoption across teams.
- Exceptional communication skills for business and executive audiences.
Preferred Qualities:
- Experience with self-serve analytics/AI platforms and embedding governance into automated workflows.
- Ability to measure and communicate ROI to C-suite.
- Systems thinker balancing rigor with business needs.
- Experience building communities of practice and enabling citizen data scientists.
Benefits:
- Performance-based cash incentive; eligibility for annual equity awards (depending on level).
- Comprehensive benefits package (health, life, disability), 401(k) with company contribution/match, and time off.
Application Instructions:
- Not provided in the text.
- Define enterprise-wide AI, ML, and data science standards embedded into self-serve analytics platforms.
- Establish model validation protocols, testing frameworks, and automated quality gates for predictive models and AI solutions.
- Create standardized, templatized methodologies for common use cases (patient predictive models, HCP targeting, driver analysis).
- Define enterprise-wide frameworks to measure analytics impact (lift analysis, ROI, incrementality, business value).
- Execute impact measurement studies and report quarterly/annual ROI to leadership.
- Establish production-readiness criteria for AI/ML models (quality thresholds, documentation, approval workflows).
- Ensure outputs meet regulatory requirements (HIPAA, GDPR, promotional review) and partner on governance.
- Monitor self-serve platform outputs, conduct model audits, and provide feedback to improve quality.
Qualifications (Essential):
- Advanced degree in Data Science/ML/Statistics (or related) OR bachelor’s with 10+ years relevant experience.
- 10+ years in data science, machine learning, advanced analytics, or AI development.
- 5+ years leadership experience setting AI/ML standards and measuring impact in commercial pharma or healthcare.
- Expert knowledge of ML, causal inference, experimental design, predictive modeling, and AI validation.
- Deep knowledge of pharmaceutical analytics and AI/ML regulatory environment.
- Proficiency in data science/AI programming and AI/ML platforms.
- Proven ability to influence without direct authority; drive adoption across teams.
- Exceptional communication skills for business and executive audiences.
Preferred Qualities:
- Experience with self-serve analytics/AI platforms and embedding governance into automated workflows.
- Ability to measure and communicate ROI to C-suite.
- Systems thinker balancing rigor with business needs.
- Experience building communities of practice and enabling citizen data scientists.
Benefits:
- Performance-based cash incentive; eligibility for annual equity awards (depending on level).
- Comprehensive benefits package (health, life, disability), 401(k) with company contribution/match, and time off.
Application Instructions:
- Not provided in the text.