Director, Analytics Standards – Impact Measurement

Novartis

Director of Analytics at Novartis establishing standards for AI, ML, and data science outputs. Quantifying business impact of analytics and AI initiatives across Commercial Analytics.

Posted 7/28/2026full-timeRemote • 🇺🇸 United StatesLead💰 $194,600 - $361,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining AI, ML, and data science standards while ensuring compliance with regulatory requirements. Proven ability to establish methodologies for impact measurement and influence cross-functional teams in the pharmaceutical analytics domain.

Highest-signal resume keywords

AI/ML Standards DevelopmentImpact Measurement MethodologiesPharmaceutical Analytics ExpertiseData Science Programming ProficiencyLeadership in AI/ML Initiatives

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPredictive ModelingCausal InferenceExperimental DesignAI ValidationData ScienceAdvanced AnalyticsStatistical AnalysisModel Validation ProtocolsQuality Gates

Soft Skills

Exceptional CommunicationInfluencing Without Authority

Tools & Technologies

Self-Serve Analytics PlatformsAI/ML Platforms

Industry Keywords

HIPAA ComplianceGDPR CompliancePharmaceutical AnalyticsRegulatory RequirementsBusiness Value Assessment

About the role

Key responsibilities & impact

Define enterprise-wide AI, ML, and data science standards embedded into self-serve analytics platforms, ensuring citizen data scientists follow rigorous methodologies automatically
Establish model validation protocols, testing frameworks, and quality gates built into automated workflows for predictive models and AI solutions
Create standardized methodologies for common use cases (patient predictive models, HCP targeting, driver analysis) that can be templatized for citizen data scientists
Define enterprise-wide frameworks for measuring analytics impact including lift analysis, ROI calculation, incrementality measurement, and business value assessment
Execute enterprise-level impact measurement studies to quantify business value of analytics initiatives and report quarterly/annual ROI to leadership
Establish production-readiness criteria for AI/ML models from self-serve platforms, including quality thresholds, documentation requirements, and approval workflows
Ensure all AI, ML, and data science outputs meet regulatory requirements (HIPAA, GDPR, promotional review) and partner with Legal, ERC, and Medical Affairs on governance
Monitor outputs from self-serve platforms, conduct model audits, and provide feedback to platform teams on quality improvements

Requirements

What you’ll need

Advanced degree in Data Science, Machine Learning, Statistics, or related quantitative field; or bachelor’s degree with 10+ years relevant experience
10+ years of experience in data science, machine learning, advanced analytics, or AI development
5+ years of leadership experience setting AI/ML standards and measuring impact in commercial pharma or healthcare
Expert knowledge of advanced analytics methodologies: machine learning, causal inference, experimental design, predictive modeling, AI validation
Deep knowledge of pharmaceutical analytics and regulatory environment for AI/ML applications
Proficiency in data science/AI programming and AI/ML platforms
Proven ability to influence without direct authority and drive adoption of AI/ML standards across diverse teams
Exceptional communication skills; ability to translate complex AI/ML concepts for business audiences and executives

Benefits

Comp & perks

Health, life and disability benefits
401(k) with company contribution and match
Variety of other benefits
Generous time off package including vacation, personal days, holidays and other leaves