Associate Director, Cross-portfolio Analytics – Vaccines

Role Summary

The Associate Director, Cross-portfolio Analytics – Vaccines is responsible for reporting and presenting Sanofi's portfolio performance and integrated insights to leadership. As a member of the Insights and Analytics (I&A) team, this individual partners with Sanofi brand teams, focusing on analyzing the performance of launched assets and preparing for future launches, proactively identifying opportunities by utilizing claims, SP, and CRM data. Based in Morristown, NJ, the role reports to the Director Customer and GTM Strategy Analytics Vaccines.

Responsibilities

• Act as a strategic partner to the brand team leadership in key activities, such as brand planning, performance reviews, new indication launches, and assessment of new initiatives
• Partner with the brand team to develop and measure KPIs associated with brand strategy and tactics
• Lead development and maintenance of KPI reports for the commercial team, covering Marketing, Sales, PSS, and Market Access functions
• Synthesize brand performance metrics into a cohesive narrative, and deliver strategic insights to Commercial leadership
• Support new launches through the leadership of behavioral segmentation and targeting
• Perform ad-hoc national and sub-national analyses to proactively identify areas of opportunities and threats, leveraging marketing tactic utilization, sales execution, and customer adoption metrics
• Partner with Analytics leads across Sanofi’s portfolio to collaborate on Franchise performance insights and deep dives
• Partner with Advanced Analytics colleagues to support optimization of promotional spend and better understand/impact key business levers
• Liaison with external vendors in the production of sub-national Sales Force Effectiveness reports
• Create dashboards to synthesize information and enable business decisions
• Coordinate with data management to ensure insights are based on reliable, high-quality information
• Coach junior team members for onboarding, upskilling and Sanofi-specific processes/data
• Lead the Hub team day-to-day on projects in a matrix management structure

Qualifications

• Required: BA / BS with a minimum of 7 years of experience in pharmaceutical Brand / Advanced Analytics, Forecasting, and/or Sales Operations; equivalent combination of education and/or consulting experience may be considered
• Required: Proven business acumen, with strong communication & presentation skills
• Required: Well-developed strategic thinking ability, with the capacity to synthesize disparate sources of data to provide a coherent narrative and actionable insights
• Required: Strong analytical skills, with the ability to design, develop, and execute analyses to answer complex business questions
• Required: Life sciences analytics experience, with understanding of best practices and ability to access and manipulate large data sets via cloud-based data warehouse/analytics platforms
• Required: Experience with programming languages (e.g., SQL, R, Python, etc.) and data science principles
• Required: Experience with key pharmaceutical data sources and analytics platforms, including: national-level sales/demand data (IQVIA NPA & NSP); longitudinal HCP & patient-level claims (IQVIA, Symphony, Komodo, etc.); specialty pharmacy/patient services data (Capgemini / LiquidHub); CRM systems (Veeva, Salesforce); data management & analysis platforms (Databricks, Snowflake); data visualization tools (Power BI, Tableau, Qlik); MS Office applications (Excel, PowerPoint, Word)
• Required: Mastery of data visualization/business intelligence tools and standard analytics workflows
• Preferred: Master's Degree or MBA
• Preferred: Experience in relevant Therapeutic Area
• Preferred: Ability to thrive in a fast-paced environment, comfortable with ambiguity, and with a track record of delivering exceptional results
• Preferred: Excellent project management and prioritization skills, able to balance multiple projects/priorities
• Preferred: Ability to work in a matrixed environment with many cross-functional partners to influence key business decisions
• Preferred: Experience in applying AI / Machine Learning/data science methodologies to address complex quantitative questions and derive action