Senior Director, Advanced Analytics Products
Waltham, Middlesex County, Massachusetts, 02254, USA
Listed on 2026-08-03
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IT/Tech
AI Engineer (Applied/Software), Data Analyst, Business Systems & Technology Analysis, AI Business & Operations
Madrigal is a biopharmaceutical company focused on delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH), a serious liver disease that can progress to cirrhosis, liver failure, need for liver transplantation and premature mortality. Every member of our Madrigal team is connected by our shared purpose: leading the fight against MASH.
Madrigal’s medication, Rezdiffra (resmetirom), is a once-daily, oral, liver-directed THR-β agonist designed to target key underlying causes of MASH. Rezdiffra is the first and only medication approved by both the FDA and European Commission for the treatment of MASH with moderate to advanced fibrosis (F2 to F3). An ongoing Phase 3 outcomes trial is evaluating Rezdiffra for the treatment of compensated MASH cirrhosis (F4c).
Our success is driven by our people. We are building a dynamic, inclusive, and high-performing culture that values scientific excellence, operational rigor, and collaboration. To support our continued growth, we are strengthening our workforce strategy to ensure we have the right talent, at the right time, in the right way.
The Senior Director, Commercial Advanced Analytics is the senior commercial-domain expert for advanced analytics and AI, translating deep knowledge of the Commercial business into high-value use cases and the requirements behind them. Reporting to the Executive Director of Data Strategy & Analytics, this leader works directly with Commercial leadership and functions to identify and prioritize high-value use cases, define the business requirements and success measures, and partner with the enterprise AI team - which builds, deploys, and governs the underlying models and AI capabilities - to embed them in commercial workflows and drive adoption.
This role is focused on identifying, prioritizing, and being the “business owner” of Commercial advanced analytics / AI initiatives and products with a focus on enabling accelerated insights, optimizing workflows, and driving the ideation and adoption of critical capabilities. The enterprise IT AI team will be responsible for the hands‑on build of these capabilities and deployment. Together, this partnership will deliver on accelerating Madrigal's Commercial success.
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
- Bachelor's degree in a quantitative field such as statistics, data science, computer science, or engineering; advanced degree (MS or PhD)…
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