Director, Analytics Standards – Impact Measurement

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🔥 11 minutes ago

🇺🇸 United States – Remote

💵 $194.6k - $361.4k / year

⏰ Full Time

🔴 Lead

👔 Director

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Novartis

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

Healthcare • Consulting • Manufacturing

Novartis is an innovative medicines company dedicated to reimagining medicine to improve and extend people’s lives. With a presence in over 250 million patients worldwide, Novartis focuses on harnessing scientific breakthroughs to develop transformative, high-value treatments in areas such as cardiovascular, renal and metabolic diseases, immunology, neuroscience, and oncology. The company is committed to diversity, equity, and inclusion, and aims to create a positive impact through societal contributions and environmental sustainability efforts. Furthermore, Novartis engages in research collaborations and embraces modern technology platforms to advance their research and development capabilities, making them a leader in the global healthcare industry.

📋 Description

• 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

• 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

• 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