Note: The job is a remote job and is open to candidates in USA. Novartis is a life sciences company focused on developing innovative science and improving patients’ lives. The Director, Analytics Standards & Impact Measurement will establish enterprise-wide standards for AI, ML, and data science, define measurement frameworks, ensure regulatory compliance, and quantify the business impact of analytics and AI initiatives across Commercial Analytics.
Responsibilities
- 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
Skills
- This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result
- This position will require 20% travel
- 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
- Experience with self-serve analytics and AI platforms and embedding governance into automated workflows
- Strong business acumen with ability to measure and communicate ROI of AI/ML initiatives to C-suite
- Systems thinker who can balance AI/ML rigor with practical business needs and timelines
- Experience building communities of practice and enabling citizen data scientists in AI/ML development
Benefits
- Performance-based cash incentive
- Eligibility to be considered for annual equity awards, depending on the level of the role
- For US-based eligible employees: comprehensive health, life and disability benefits
- For US-based eligible employees: a 401(k) with company contribution and match
- For US-based eligible employees: a generous time off package including vacation, personal days, holidays and other leaves
- Remote work anywhere in the U.S., subject to possible legal-entity restrictions
Company Overview