Associate Director, Commercial Analytics

Position Summary

The Associate Director, Commercial Analytics drives promotional effectiveness analytics for TRUTAKNA — measuring whether Vera’s promotional investment is working and shaping where it goes next. Reporting to the Senior Director, Commercial Forecasting and Advanced Analytics, the role also carries opportunities to flex into support for commercial forecasting as business needs and the individual’s interests align. This is a hands-on, high-visibility individual contributor role in a lean commercial team. The person in this seat builds the models, forms a view on what they mean, and brings that thinking to commercial leadership. Partners include Business Operations, Marketing, Market Access, Sales, Patient Services, Launch Excellence, Finance, and Supply.

Responsibilities

• Drive promotional effectiveness analytics for TRUTAKNA and inform the optimal level and mix of promotional investment across channels, audiences, and customer segments.
• Build and interpret promotional response models, program ROI analyses, and channel and campaign measurement; develop marketing mix and promotional sequence optimization capability as promotional history accumulates.
• Estimate the sales impact of personal and non-personal channels using statistical and predictive modeling, and design test-and-learn approaches where historical data is thin.
• Ground segmentation, targeting, and customer prioritization in promotional responsiveness rather than volume alone, refreshing as diagnostic patterns and account discovery evolve.
• Support field sizing and deployment, territory alignment, goal setting, and incentive compensation design with promotional responsiveness and workload analysis.
• Analyze field activity and territory performance, pairing quantitative KPIs with qualitative field insight to explain what is actually driving results.
• Support development and maintenance of patient-based demand forecasts, including patient funnel and patient flow models spanning identification, diagnosis, referral, initiation, and persistence.
• Pressure-test forecast assumptions using analog launch benchmarks, real-world data, and primary market research, and help refine them against actuals as the launch matures.
• Provide the analytics that reconcile demand signals with financial forecasts and supply planning inputs, helping explain variances and assumption changes to Finance and Supply Chain partners.
• Draw on internal business data — CRM and field activity, patient services and HUB enrollment, market access and specialty pharmacy feeds, and sales data — to build a coherent analytical view of the business.