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.

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.

Preferred

• 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

• 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.
• a generous time off package including vacation, personal days, holidays and other leaves