Senior Director, Advanced Analytics Products

Role & Responsibilities

• Serve as Commercial PoC in defining and prioritizing the roadmap of commercial advanced analytics and AI use cases, in partnership with Commercial leadership and the enterprise AI team, which builds and deploys them on the enterprise platform
• Own the advanced analytics roadmap and business integration of our next-best-action / omni-channel strategy with a focus on improving our customer engagement model through field and home office orchestration
• Prioritize and manage the Commercial advanced-analytics and AI use-case pipeline, aligned to the enterprise intake, prioritization, and governance process
• Define the business, data, and success requirements for Commercial models and AI tools, and partner with enterprise AI and IT in deployment and optimization of these tools
• Provide commercial validation and business acceptance during enterprise-run testing and phased roll-outs, applying the enterprise evaluation framework and feeding Commercial requirements back to the enterprise AI
• Own the day-to-day advanced analytics operations by serving as intake for Commercial leadership requests, structuring problem statements, working with our Enterprise AI team's dedicated Commercial Analytics AI resources to build appropriate solutions, and synthesizing these results into business-facing insights
• Develop requirements to our Commercial Data Products team for enhancements to our semantic layer that enables trusted self-service, democratization of model outputs, and forward-looking natural-language querying
• Serve as the Commercial-domain expert who translates business needs into advanced analytics and AI solutions, and represent Commercial requirements in the enterprise AI tool vendor evaluations

Qualifications

• Bachelor's degree in a quantitative field such as statistics, data science, computer science, or engineering; advanced degree (MS or PhD) preferred
• 15+ years in pharmaceutical or biotech commercial advanced analytics, with demonstrated value generation across Sales, Patient Services, Market Access, and Marketing (e.g., omni-channel, attrition modeling, shareshift)
• Fluency with core commercial data assets — specialty pharmacy / hub, claims (e.g., IQVIA, Symphony), CRM / Veeva, call and activity, and consent data — and the governed semantic layer built on them
• Experience partnering with technical teams to bring machine learning and AI-driven tools into production commercial workflows, with working knowledge of MLOps and model lifecycle management
• Demonstrated experience building, leading, and developing analytics or data science teams
• Hands-on proficiency in Python and SQL, and experience with cloud data and machine learning platforms (e.g., Databricks, Fabric, Azure/AWS ML tooling)

Preferred Experience

• Experience applying evaluation and phased-rollout approaches (e.g., shadow-mode) for AI tools deployed on an enterprise platform
• Experience supporting specialty or rare disease brands
• Proven success in deploying AI workflow enhancements with focus on RoI

Skills & Competencies

• Deep fluency in the commercial operating model (field and home-office orchestration, market access, brand performance, patient services workflow optimization), paired with strong technical grounding and the judgment to prioritize high-ROI use cases
• Ability to build trust and evaluation rigor around new AI capabilities with non-technical stakeholders
• Effective cross-functional partnership across Commercial, Medical, IT, and the enterprise AI team, including translating business needs into technical requirements
• Proven people leadership and team development

Impact

• Accelerates adoption of advanced analytics and AI across Commercial while establishing Madrigal as a leader in safe, evaluation-driven AI deployment, delivering measurable gains in accelerated insight generation, Commercial workflow optimization, and higher fidelity of orchestration across field and HQ roles
• Converts high-value use cases into measurable improvements in commercial decision-making and operational efficiency
• Establish a repeatable operating model that converts AI investments into measurable Commercial outcomes

Pay

Base salary is determined by several factors including the candidate's qualifications, skills, education, experience, business needs and market demands. As of the date of this posting, a good faith estimate of the current pay scale for this position, applicable to all candidates, is $257,000 - $314,000 per year. All full-time employees receive equity, which reinforces our ownership culture and offers meaningful opportunity for our employees to share in the success they help create.

Benefits

Full-time employees are eligible for comprehensive benefits, including flexible paid time off, medical, dental, vision and life/disability insurance, and 401(k) offerings (i.e., traditional, Roth, and employer match) in accordance with applicable plans. We also offer additional voluntary benefits like supplemental life insurance, legal services, and other offerings. In addition, we offer mental health benefits through our Employee Assistance Program for employees and their family.