Director, Commercial Analytics

Director, Commercial Analytics (Commercial Effectiveness)

Responsibilities

• Deliver analytically rigorous, high-impact insights to accelerate growth of Insmed’s approved Respiratory portfolio asset and advance strategies to expand disease diagnosis and patient identification.
• Partner with Commercial Strategy, Marketing, Medical, and Market Access to turn complex healthcare data into actionable insights that optimize brand strategy and commercial performance.
• Monitor brand performance, competitive dynamics, and market trends; proactively identify growth opportunities and business risks.
• Measure commercial effectiveness, promotional ROI, and market dynamics to optimize resource allocation.
• Quantify diagnostic opportunities; identify drivers to accelerate patient identification and disease diagnosis.
• Evaluate diagnosis expansion initiatives and recommend strategies to improve performance across the patient journey.
• Leverage real-world data and advanced analytics to inform disease awareness and diagnosis expansion strategies.
• Design and execute advanced analytics and predictive models to support strategic decision-making.
• Translate complex analyses into clear recommendations for senior leadership and cross-functional stakeholders.
• Identify opportunities to leverage AI/ML and innovative data sources; foster analytical excellence and continuous improvement.

Qualifications

• Bachelor’s degree in Data Science, Health Economics, Statistics, Marketing Analytics, or related quantitative field.
• 10+ years commercial experience in pharma/biotech (or equivalent).
• MBA or advanced degree (MS, PhD) preferred; rare disease, specialty, or respiratory experience a plus.

Skills/Requirements

• Knowledge of pharmaceutical data (sales, specialty pharmacy, payer, promotional/marketing, longitudinal patient-level).
• Expertise with claims/EMR and real-world data (APLD).
• Strong patient journey, treatment flow analysis, and disease epidemiology understanding.
• Experience influencing senior stakeholders and working cross-functionally/matrix and autonomously.
• Communication skills to translate analytics into actionable recommendations.
• Proficiency in SQL, Python, R, SAS (or similar); Microsoft Office.

Benefits

• Comprehensive medical, dental, vision, mental health support; wellbeing reimbursement; EAP.
• Paid time off; fertility/family-forming benefits; caregiver support; flexible schedules.
• 401(k) match; annual equity awards; ESPP; company-paid life/disability.
• Learning and development via Company Learning Institute (LinkedIn Learning, workshops, leadership, mentorship, networking).