Director, Advanced Analytics GenMeds and Vaccines

Role Summary

Director, Advanced Analytics - GenMeds & Vaccines will build and lead a team of onshore and/or offshore analysts that uses predictive analytics, including AI/ML models, to assess and improve promotional effectiveness across Sanofi. As a member of the Insights and Analytics (I&A) team, this individual will be an integral strategic partner to Sanofi Commercial leadership, leading the development and application of cutting-edge analytical capabilities to achieve the full potential of Sanofi’s expanding portfolio. This position reports to the Sr Director, US Marketing Sciences and will be based in Cambridge, MA or Bridgewater, NJ.

Responsibilities

• Retain & develop high-quality talent to build a best-in-class Advanced Analytics team.
• Support hiring and development of onshore and/or offshore Advanced Analytics team members, fostering positive team culture that rewards curiosity, collaboration, and inclusion.
• Coordinate with larger Marketing Sciences team & Commercial leadership to prioritize requests and balance team workload.
• Manage team budgets and relationships with external vendors to accomplish key Advanced Analytics & Commercial goals.
• Ensure the team is aware of / compliant with relevant policies and SOPs.

• Allocate resources to provide comprehensive Advanced Analytics support, empowering Commercial teams to use analytics tools to measure & optimize marketing effectiveness.
• Liaise between Commercial leadership and Marketing Science Analytics NA lead to ensure timely and accurate refresh of marketing mix models, providing brand specific context to performance and budget optimization scenarios.
• Assist Commercial leadership in designing & testing promotional investment scenarios to support key business planning activities (e.g. Budget & Strat Plan).

• Partner with Marketing Science Analytics NA lead to translate budget optimization outputs into concrete action plans & communicate recommendations to senior leadership, complementing outputs of marketing mix model with supplemental analyses to help contextualize recommendations. Apply data science techniques, such as machine learning, statistical modeling, and artificial intelligence to unlock insights & new strategies.
• Lead model development of Patient Identification models to enhance HCP targeting & segmentation as well as Next Best Action applications.
• Partner with Brand Analytics leads to leverage outputs of AI/ML models such as patient prediction, HCP clustering, and promotional sensitivity models to enhance salesforce targeting and sizing workstreams.
• Lead model development of Patient Support Services models – e.g. drivers analyses and risk identification for non-conversion and discontinuation to help inform PSS strategy across FRMs, Case Managers and Specialty Pharmacies
• Act as TA dedicated Advanced Analytics advisors on Marketing Science/Consumer/Omnichannel model builds including marketing mix modeling, multi-touch attribution, next best action and cross-functional orchestration engines – ensuring consistency with other TA analytics work.

• Support Brand Media & Omnichannel teams in understanding channel performance, assessing new tactics, and advancing omnichannel initiatives.
• Coordinate with Consumer & HCP Omnichannel Analytics leads and Media / Omnichannel teams to assess campaigns' technical measurement / data requirements, and support launches of new tactics via the design & implementation of impact metrics.
• Inform development of external / internal KPI reports to assess performance by channel (Display, Streaming, OLV, Social, Search, Web, Email)
• Foster strong agency partnerships to ensure insights are based on reliable, high-quality information, and weave in context surrounding media execution strategy.
• Drive integration of Omnichannel Analytics perspectives with broader Advanced & Brand Analytics activities to deliver comprehensive narrative on marketing execution and customer engagement.

• Provide strategic guidance & ad-hoc support to the Commercial teams, and the I&A organization, as an Advanced Analytics subject matter expert.
• Coordinate ad-hoc Advanced Analytics initiatives to better understand & impact key business levers, e.g., application of AI/ML models to understand patient conversion, predict HCP product selection, etc.
• Collaborate with Data Management and Digital teams to drive the internal integration of Brand Media execution data across all channels.
• Work with Brand, Marketing Science, Consumer Media, and Omnichannel HCP Analytics colleagues to support & enhance internal data management / analysis platforms to facilitate collaboration, harmonize key deliverables, and drive analytics best practices within the larger I&A team.
• Partner with other I&A teams to advocate for continued development of internal analytics capabilities and share knowledge across therapeutic areas.
• Lead Hub team day to day on projects in a matrix management structure

Education

• BA/BS degree and a scientific degree (either MS/PhD) with a concentration in quantitative fields or advanced certification in modern data science/machine learning is required.

Skills

• Minimum of 10+ years of experience in a significant Data / Analytics role – with advanced knowledge of statistical models and a clear understanding of modeling methodologies and applied techniques (e.g., Bayesian statistics, regression, customer life cycle value, A/B testing, etc.). Preferably experience with MMM (Marketing Mix Modeling).
• Proven leadership acumen, with well-developed communication & presentation skills.
• Strong strategic thinking ability, with deep understanding of the life-sciences industry.
• Experience with key pharmaceutical data sources and analytics platforms, including:
  • National-level sales / demand data (e.g., IQVIA NPA & NSP)
  • Longitudinal HCP & patient-level claims (e.g., IQVIA, Symphony, Komodo, etc.)
  • Specialty pharmacy / patient services data (e.g., Capgemini / LiquidHub)
  • CRM systems (e.g., Veeva, Salesforce, etc.)
  • Media platform reporting tools (e.g., CM360 / SA360, Meta Business Manager, etc.)
  • Site analytics platforms (e.g., Google Analytics & Adobe Analytics)
  • Data management & analysis platforms (e.g., Databricks, Snowflake, etc.)
  • Data visualization / BI tools (e.g., Tableau, Qlik, Power BI, etc.)
  • MS Office applications (Excel, PowerPoint, Word)
• Relevant therapeutic area experience in pharmaceutical analytics preferred.
• Proficiency in programming languages, preferably SQL and Python.

Soft Skills

• Effectively influence in a highly matrixed international environment, with ability to work with individuals across multiple time zones.
• Effectively and confidently communicate to various audiences, including senior leadership.
• Synthesize complex ideas to simple.
• Develop brand implications from market research findings, not just a summary of the data.
• Strong learning agility and high degree of curiosity.
• Strong focus on detail, accuracy, and ability to solve problems through analytical reasoning.
• Strong work ethic and personal motivation.
• Ability to think strategically in an ambiguous environment and flex and pivot as the business requires.
• Demonstrated EQ and leadership skills.