Associate Director, Brand Analytics, Oncology

Role Summary

Associate Director, Brand Analytics, Oncology. Location: Cambridge, MA or Morristown, NJ.

Responsibilities

• Act as a strategic partner and subject matter expert for brand leadership in key Commercial activities/workstreams, such as brand planning, performance reviews, new indication launches, and assessment of new initiatives
• Partner with the brand team to develop and measure KPIs that are closely aligned with brand strategy and tactics
• Lead development and maintenance of KPI reports for the broader Commercial team, leveraging insights from Marketing, Sales, PSS, and Market Access functions
• Synthesize brand performance metrics into a cohesive narrative and deliver strategic insights to Commercial leadership
• Drive the development and refinement of dynamic performance dashboards to synthesize information and enable agile Commercial decision-making
• 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
• Collaborate with Brand Analytics & Forecasting leads across Sanofi’s portfolio on TA/business unit-level performance overviews 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.)
• Engage with Field Deployment / Reporting colleagues to produce national and sub-national Sales Force Effectiveness reports
• Coordinate with Data Management to ensure insights are properly contextualized and derived from reliable, high-quality information
• Coach junior I&A team members as they engage in onboarding, upskilling, and training in Sanofi-specific processes/data
• Collaborate effectively with offshore Sanofi Hub I&A team members to deliver Brand Analytics insights, and provide day-to-day leadership and oversight in a matrix management structure

Qualifications

• 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
• Proven business acumen, with strong communication & presentation skills
• Well-developed strategic thinking ability, with the capacity to synthesize disparate sources of data to provide a coherent narrative and actionable insights
• Strong analytical skills, with the ability to design, develop, and execute analyses to answer complex business questions
• 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
• Experience with programming languages (e.g., SQL, R, Python, etc.) and data science principles
• Experience with key pharmaceutical data sources and analytics platforms:
  • 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, etc.)
  • Data management & analysis platforms (e.g., Databricks, Snowflake, etc.)
  • Data visualization/business intelligence tools (e.g., Power BI, Tableau, Qlik)
  • MS Office applications (particularly Excel, PowerPoint, Word)

Preferred Qualifications

• Master's Degree or MBA preferred
• Experience with Oncology market data
• Able to thrive in a fast-paced environment and navigate ambiguity, with a track record of delivering exceptional results
• Excellent project management and prioritization skills, able to deftly balance multiple projects/priorities
• Ability to work in a matrixed environment with many cross-functional partners to understand and influence key business decisions
• Experience in applying AI / Machine Learning/data science methodologies to address complex quantitative questions and derive actionable insights

Additional Requirements