Main Responsibilities
- Lead the creation of a new Customer and Go-To-Market (GTM) analytics and operational strategy with the Head of Commercial Transformation and Specialty Care GMs:
- Create a data acquisition strategy to support both analytics and operations
- Evaluate and inform Specialty Careβs GTM strategy creation with analytics and insights
- Co-lead with Head of Commercial Transformation business case creation of new GTM Models
- Effectively allocate resources to provide best-in-class analytics support for GTM initiatives, with a focus on measuring and understanding performance of in-line assets:
- Lead Hub team day-to-day on projects in a matrix management structure
- Evaluate performance vs. KPI targets, including impact of differential GTM models
- Lead development of KPI trackers/dashboards to communicate performance insights for varying customer groups/types
- Identify performance trends and lead Brand Analytics use of national/sub-national marketing tactic utilization, sales execution, and customer adoption data to understand risks/opportunities
- Synthesize performance metrics into a cohesive narrative and deliver strategic insights to Commercial leadership
- Develop analytics support strategies for new/expanded therapy areas (e.g., account segmentation, targeting, sales force sizing)
- Collaborate with Data Management to optimize Commercial data assets for availability/accuracy
- Partner with Advanced Analytics to optimize promotional spend (e.g., marketing mix analyses) and impact key business levers (e.g., AI/ML for patient conversion and HCA product selection)
- Work with Advanced Analytics to enhance internal data management/analysis platforms and drive analytics best practices
- Partner with other I&A teams to advocate for continued development of internal analytics capabilities and share knowledge across therapeutic areas
Qualifications (Basic)
- BA/BS with minimum 10 yearsβ experience in pharmaceutical Brand/Advanced Analytics, Forecasting, and/or Sales Operations; or equivalent combination of education (MS/MA/MBA/PhD) and/or consulting experience
- Proven leadership with excellent communication and presentation skills
- Strong strategic thinking; ability to synthesize disparate data into coherent narratives and actionable insights
- Excellent analytical skills; ability to design, develop, and execute analyses for complex business questions
- Extensive life sciences analytics experience; deep knowledge of analytics best practices; ability to conceptualize, access, and manipulate large datasets via cloud-based data warehouse/analytics platforms
- Programming experience (e.g., SQL, R, Python) and data science principles
- Expertise using pharmaceutical data sources/analytics platforms including:
- National-level sales/demand data (e.g., IQVIA NPA/NSP)
- Longitudinal HCP & patient-level claims (e.g., IQVIA, Symphony, Komodo)
- Specialty pharmacy/patient services data (e.g., Capgemini/Data Unveil)
- CRM systems (e.g., Veeva, Salesforce)
- Data management/analysis platforms (e.g., Databricks, Snowflake)
- Data visualization/BI tools (e.g., PowerBI, Tableau, Qlik)
- MS Office (Excel, PowerPoint, Word)
Qualifications (Preferred)
- Experience in relevant therapeutic area
- Experience leading and mentoring high-performing teams; collaborative, innovative, continuous-improvement culture
- Ability to thrive in fast-paced environments with ambiguity; track record of exceptional results
- Strong project management and prioritization
- Ability to work in matrixed, cross-functional environments to influence business decisions
- Experience applying AI/Machine Learning/data science methodologies to complex quantitative questions