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Director, Commercial Data, Advanced Analytics & Forecasting

9 hours, 7 minutes ago
Anywhere
Full-time
Executive
Data Scientist
Data Science and Analytics
CRM Generative AI Machine Learning Power BI Python R SQL Tableau
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Description

  • Design measurement frameworks linking market development, customer engagement, field execution, patient progression, access, and business outcomes.
  • Build decision-support models to identify leading indicators and early-warning signals.
  • Lead analytics for market sizing, patient identification, customer segmentation, referral networks, payer access, field-force optimization, territory potential, and launch performance.
  • Translate complex analytical findings into clear recommendations, risks, and actions for executives and operating teams.
  • Own patient-based, demand, launch, and long-range commercial forecasts using relevant clinical, access, market, competitive, and supply drivers.
  • Develop base, upside, downside, label, and access forecast scenarios; monitor performance against assumptions.
  • Evaluate and manage commercial data sources, including HCP, payer, claims, CRM, patient services, specialty pharmacy, shipment, and market research data.
  • Oversee data ingestion, integration, master data, and aggregation processes to produce analytics-ready datasets.
  • Develop dashboards, reports, scorecards, and KPI tools using Power BI, Tableau, Excel, and other business-intelligence platforms.
  • Develop a governed roadmap for commercial AI, machine learning, generative AI, and analytical automation.

Requirements

  • Bachelor’s degree in statistics, mathematics, computer science, or a related quantitative discipline; an advanced degree is strongly preferred.
  • 10+ years of progressive experience in commercial analytics, data science, forecasting, business intelligence, commercial operations, or a related function in pharmaceuticals, biotechnology, or healthcare.
  • Experience supporting at least one U.S. product launch from pre-launch planning through launch or early commercialization.
  • Advanced hands-on SQL proficiency, including extracting, joining, transforming, validating, and analyzing complex datasets.
  • Hands-on experience with Python, R, SAS, Alteryx, or a comparable analytics platform.
  • Proficiency with Excel and visualization tools such as Power BI or Tableau.
  • Experience building advanced analytical models, segmentation and targeting analyses, field-effectiveness analyses, and decision-support tools.
  • Experience developing patient-based, demand, launch, or long-range forecasts.
  • Experience working with complex healthcare and commercial datasets, such as provider, payer, claims, CRM, patient services, specialty pharmacy, shipment, financial, or market research data.
  • Knowledge of data acquisition, integration, warehouses or lakehouses, data quality, metadata, lineage, governance, 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

  • Estimated annual base salary range of $196,000 to $265,000.
  • Annual bonus program.
  • Stock options for employees at all levels.
  • Retirement plan with employer match.
  • Education assistance.
  • Paid caregiver leave.
  • Summer hours.
  • Comprehensive benefits and compensation package.

Interested in this position?

Apply directly on the company website

Apply Now

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