Role Summary
Director, Advanced Analytics - GenMeds & Vaccines will build and lead a team of onshore and/or offshore analysts who use 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. The position will report to the Sr Director, US Marketing Sciences and is 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 a positive team culture that rewards curiosity, collaboration, and inclusion.
- Coordinate with the 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 the Marketing Science Analytics NA lead to ensure timely, accurate refreshes of marketing mix models, providing brand-specific context for performance and budget optimization.
- Assist Commercial leadership in designing & testing promotional investment scenarios to support key business planning activities (e.g. Budget & Strat Plan).
- Partner with the Marketing Science Analytics NA lead to translate budget optimization outputs into concrete action plans & communicate recommendations to senior leadership, complementing the marketing mix model's outputs with supplemental analyses to 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 a TA dedicated to 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 the context surrounding media execution strategy.
- Drive integration of Omnichannel Analytics perspectives with broader Advanced & Brand Analytics activities to deliver a 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, facilitating collaboration, harmonizing key deliverables, and driving analytics best practices across the larger I&A team.
- Partner with other I&A teams to advocate for the continued development of internal analytics capabilities and share knowledge across therapeutic areas.
- Lead the Hub team day-to-day on projects in a matrix management structure.
Qualifications
- Experience: Minimum 10+ years in a significant data/analytics role with advanced knowledge of statistical models and modeling methodologies; MMM experience preferred.
- Leadership: Proven leadership acumen, with well-developed communication & presentation skills.
- Strategic: Strong strategic thinking ability, with a deep understanding of the life sciences industry.
- Data sources & platforms: Experience with 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, etc.), media platform reporting tools (CM360 / SA360, Meta Business Manager, etc.), site analytics platforms (Google Analytics & Adobe Analytics), data management & analysis platforms (Databricks, Snowflake, etc.), data visualization tools (Tableau, Qlik, Power BI, etc.), MS Office (Excel, PowerPoint, Word).
- Programming: Proficiency in SQL and Python preferred.
- Therapeutic area: Relevant pharmaceutical analytics experience preferred.
Education
- BA/BS degree and a scientific degree (MS/ PhD) with a concentration in quantitative fields, or advanced certification in modern data science/machine learning, is required.
Skills
- Effectively influence in a highly matrixed international environment, with the ability to work with individuals across multiple time zones.
- Effectively and confidently communicate to various audiences, including senior leadership.
- Synthesize complex ideas into simple ones.
- Develop brand implications from market research findings, not just a summary of the data.
- Strong learning agility and a high degree of curiosity.
- Strong focus on detail, accuracy, and the 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.