Senior Director, Advanced Analytics Products

Role & Responsibilities

• Serve as Commercial point-of-contact (PoC) for defining and prioritizing the roadmap of Commercial advanced analytics and AI use cases with Commercial leadership and the enterprise AI team.
• Own the advanced analytics roadmap and integrate next-best-action/omni-channel capabilities to improve customer engagement via field and home-office orchestration.
• Prioritize/manage the Commercial advanced-analytics and AI use-case pipeline via enterprise intake, prioritization, and governance.
• Define business, data, and success requirements for Commercial models/AI tools; partner on deployment and optimization.
• Provide commercial validation/business acceptance during enterprise testing and phased roll-outs.
• Own day-to-day advanced analytics operations: intake requests, structure problem statements, coordinate with Enterprise AI resources, and translate results into business insights.
• Develop requirements for semantic layer enhancements enabling trusted self-service, democratized model outputs, and natural-language querying.
• Represent Commercial requirements in enterprise AI tool/vendor evaluations.

Qualifications

• Bachelor’s in a quantitative field (statistics, data science, computer science, or engineering); MS/PhD preferred.
• 15+ years in pharma/biotech commercial advanced analytics (Sales, Patient Services, Market Access, Marketing).
• Fluency with commercial data assets (specialty pharmacy/hub, claims, CRM/Veeva, call/activity, consent) and governed semantic layer.
• Partnering experience bringing ML/AI into production; working knowledge of MLOps and model lifecycle management.
• Experience building/leading analytics or data science teams.
• Hands-on Python and SQL; cloud data/ML platforms (e.g., Databricks, Azure/AWS tooling).

Preferred

• Evaluation/phased roll-outs (e.g., shadow-mode) on enterprise platforms.
• Specialty/rare disease brand experience.
• ROI-focused AI workflow deployment success.

Skills & Competencies

• Deep commercial operating-model fluency; prioritize high-ROI use cases.
• Build trust/evaluation rigor with non-technical stakeholders; strong cross-functional leadership.

Benefits

• Equity; base pay, bonus, and equity (within total rewards). Full-time benefits include flexible paid time off, medical/dental/vision, life/disability, and 401(k) options; additional voluntary benefits (e.g., supplemental life, legal services) and EAP mental health support.