Associate Director, Cross-portfolio Analytics – Vaccines

Role Summary

Associate Director, Cross-portfolio Analytics – Vaccines, based in Morristown, NJ. Responsible for reporting and presenting Sanofi's portfolio performance and integrated insights to leadership as a member of the Insights and Analytics team, focusing on analyzing launched assets and preparing for future launches, and proactively identifying opportunities using claims, SP, and CRM data.

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 (e.g., marketing mix analyses) and better understand/impact key business levers (e.g., application of AI / ML models to understand patient conversion, predict HCP product selection, etc.)
• 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 (MS / MA / MBA / PhD) 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:
• Required: National-level sales/demand data (e.g., IQVIA NPA & NSP)
• Required: Longitudinal HCP & patient-level claims (e.g., IQVIA, Symphony, Komodo, etc.)
• Required: Specialty pharmacy/patient services data (e.g., Capgemini / LiquidHub)
• Required: CRM systems (e.g., Veeva, Salesforce, etc.)
• Required: Data management & analysis platforms (e.g., Databricks, Snowflake, etc.)
• Required: Data visualization/business intelligence tools (e.g., Power BI, Tableau, Qlik, etc.)
• Required: MS Office applications (Excel, PowerPoint, Word)
• Preferred: Master's Degree or MBA preferred
• 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 deftly balance multiple projects/priorities
• Preferred: Ability to work in a matrixed environment with many cross-functional partners to understand and influence key business decisions
• Preferred: Experience in applying AI / Machine Learning/data science methodologies to address complex quantitative questions and derive action