[Hiring] Director, Commercial Data, Advanced Analytics & Forecasting @Regenxbio

Role Description

As the Director, Commercial Data, Advanced Analytics & Forecasting, you will build and lead the data, advanced analytics, and forecasting capabilities needed to ensure launch readiness and guide commercial decision-making. This individual will play a critical role in translating brand strategy into decision and analytics framework, develop advanced analyses and patient-based forecasts, and turn complex data into decision-ready insights and KPIs.

• Design measurement frameworks that connect market development, customer engagement, field execution, account readiness, patient progression, access, treatment, and business outcomes.
• Build advanced analyses and decision-support models to identify leading indicators and early-warning signals that enable action before risks or opportunities are evident in lagging performance measures.
• Lead analytics across market sizing, patient identification, customer segmentation and targeting, referral networks, payer access, field-force optimization, territory potential, and launch performance.
• Translate complex analytical findings into clear recommendations, implications, risks, and actions for senior executives and operating teams.
• Own patient-based, demand, launch, and long-range commercial forecasting, incorporating drivers such as epidemiology, diagnosis, patient identification and eligibility, referral, treatment-center capacity, access, time to treatment, uptake, competitive dynamics, and supply considerations.
• Build key scenarios, including base, upside/downside, label, and access scenarios.
• Monitor actual performance versus assumptions.
• Identify, evaluate, and manage relevant data sources, including HCP, payer, claims, prescription, account, CRM, patient services, hub, specialty pharmacy, specialty distributor, shipment, digital, financial, epidemiology, market research, and competitive intelligence data.
• Oversee data ingestion, integration, customer and account master data, and aggregation processes to deliver accurate, high-quality, analytics-ready datasets.
• Develop and maintain dashboards, reports, scorecards, and KPI-tracking tools, and support recurring business reviews using Power BI, Tableau, Excel, and other business intelligence platforms.
• Develop a practical, governed roadmap for commercial AI, machine learning, generative AI, and analytical automation.

Qualifications

• Bachelor’s degree in statistics, mathematics, computer science, or a related quantitative discipline; relevant advanced degree strongly preferred.
• 10+ years of progressive experience in commercial analytics, data science, forecasting, business intelligence, commercial operations, or a related function within pharmaceuticals, biotechnology, or healthcare.
• Direct experience supporting at least one U.S. product launch from pre-launch planning through launch or early commercialization.
• Advanced, hands-on SQL proficiency required, including the ability to independently extract, join, transform, validate, and analyze complex datasets.
• Strong hands-on capability in at least one of Python, R, SAS, Alteryx, or a comparable analytical platform.
• Strong proficiency with Excel and business-intelligence or visualization tools such as Power BI or Tableau.
• Demonstrated experience building advanced analytical models, customer or account segmentations, targeting analyses, field-effectiveness analyses, and decision-support tools.
• Demonstrated experience developing and maintaining patient-based, demand, launch, or long-range forecasts.
• Experience working with healthcare-provider, payer, claims, CRM, patient-services, specialty-pharmacy, specialty-distributor, shipment, financial, market-research, or other complex commercial datasets.
• Experience defining requirements for data acquisition, data integration, data warehouses or lakehouses, data aggregation, analytics-ready datasets, data quality, metadata, lineage, and governance.
• Working knowledge of statistical modeling, predictive analytics, machine learning, AI, and analytical automation.
• Ability to translate Brand strategy into analytical questions, data requirements, models, KPIs, insights, and commercial actions.
• Willingness and ability to travel up to 25%.

Benefits

• Comprehensive and competitive benefit & compensation package.
• Market-competitive salaries.
• Annual bonus program.
• Education assistance.
• Paid caregiver leave.
• Retirement plan with employer match.
• Stock options at all levels.
• Summer hours and more!
• Estimated compensation range for this role is $196,000 to $265,000 annually.