Director, Commercial Data – Advanced Analytics & Forecasting

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and spearhead data, advanced analytics, and forecasting capabilities to ensure launch readiness and informed commercial decision-making.

• Create measurement frameworks that link market development, customer engagement, field execution, account readiness, patient progression, access, treatment, and overall business outcomes.

• Construct advanced analyses and decision-support models that identify leading indicators and early-warning signals.

• Direct analytics related to market sizing, patient identification, customer segmentation and targeting, referral networks, payer access, field-force optimization, territory potential, and launch performance.

• Convert analytical insights into actionable recommendations, implications, risks, and strategies for senior executives and operational teams.

• Take ownership of patient-based demand, launch, and long-term commercial forecasting.

• Develop scenarios for base, upside/downside, labeling, and access.

• Compare actual performance against established assumptions.

• Identify, assess, and manage relevant commercial data sources.

• Supervise data ingestion, integration, customer and account master data, as well as aggregation processes.

• Create and sustain dashboards, reports, scorecards, and KPI-tracking tools utilizing Power BI, Tableau, Excel, and other business intelligence platforms.

• Formulate and uphold 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 field; an advanced degree is highly preferred.

• Over 10 years of progressive experience in commercial analytics, data science, forecasting, business intelligence, commercial operations, or a related role within the pharmaceuticals, biotechnology, or healthcare sectors.

• Proven experience supporting at least one U.S. product launch from pre-launch planning through to launch or initial commercialization.

• Advanced, hands-on proficiency in SQL, including the ability to independently extract, join, transform, validate, and analyze complex datasets.

• Strong practical skills in at least one of the following: Python, R, SAS, Alteryx, or a similar analytical platform.

• Excellent proficiency in Excel and business intelligence or visualization tools such as Power BI or Tableau.

• Experience in building advanced analytical models, customer or account segmentations, targeting analyses, field-effectiveness analyses, and decision-support tools.

• Familiarity with developing and maintaining patient-based, demand, launch, or long-range forecasts.

• Experience working with complex commercial datasets, including healthcare-provider, payer, claims, CRM, patient services, specialty pharmacy, specialty distributor, shipment, financial, and market research data.

• Expertise in 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 inquiries, data requirements, models, KPIs, insights, and commercial actions.

• Willingness and capability to travel up to 25%.

🏝️ Benefits

• Annual bonus program.

• Education assistance.

• Paid caregiver leave.

• Retirement plan with employer match.

• Stock options available at all levels.

• Summer hours.

• Comprehensive and competitive benefits and compensation package.