Director, US Advanced Analytics - GenMeds and Vaccines

Sanofi•Cambridge, MA

2d•Hybrid

About The Position

This role is for a Director, US Advanced Analytics within Sanofi's General Medicines and Vaccines Business Units. The position is part of the Go-to-Market Capabilities (GTMC) team, which aims to deliver best-in-class capabilities to enhance commercial operations through standardized processes, tools, and dynamic resource allocation. The Director will build and lead a team of onshore and/or offshore analysts using predictive analytics, AI/ML models to assess and improve promotional effectiveness. As a member of the Insights and Analytics (I&A) team, this individual will be a strategic partner to Sanofi Commercial leadership, developing and applying advanced analytical capabilities to maximize the potential of Sanofi’s portfolio. The role reports to the Sr Director, US Advanced Analytics.

Requirements

BA/BS degree and either: A scientific degree (either MS/PhD) with a concentration in quantitative fields OR advanced certification in modern data science/machine learning.
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.).
Proven leadership acumen, with well-developed communication & presentation skills.
Strong strategic thinking ability, with deep understanding of the life-sciences industry.
Excellent analytical skills, with demonstrated ability to design, develop, and execute analyses to answer complex business questions.
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 / business intelligence tools (e.g., Tableau, Qlik, Power BI, etc.), MS Office applications (Excel, PowerPoint, Word).
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.
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.

Nice To Haves

Preferably experience with MMM (Marketing Mix Modeling).
Relevant therapeutic area experience in pharmaceutical analytics preferred.
Proficiency in programming languages, preferably SQL and Python preferred.
Develop brand implications from market research findings, not just a summary of the data.

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.
Lead Hub team day to day on projects in a matrix management structure.
Coordinate with larger Advanced Analytics 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.
Act as TA (Therapeutic Area) dedicated Advanced Analytics lead and advisor on AI/ML model builds including marketing mix modeling, multi-touch attribution, next best action and cross-functional orchestration engines – ensuring consistency with other TA analytics work.
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.
Lead model development of Patient Support Services models – e.g. drivers analyses and risk identification for non-conversion and discontinuation to inform PSS strategy across FRMs, Case Managers and Specialty Pharmacies.
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.
Act as a strategic partner to Brand Leadership by assessing impact of sales & marketing tactics, providing budget and strategic recommendations, and advancing omnichannel initiatives.
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 sales & marketing tactic performance and budget optimization scenarios.
Partner with Marketing Science Analytics NA lead and Omnichannel Media team to translate budget optimization outputs into concrete action plans & communicate recommendations to senior leadership, complimenting outputs of marketing mix model with supplemental analyses to help contextualize recommendations.
Assist Commercial leadership in designing & testing promotional investment scenarios to support key business planning activities (e.g. Budget & Strat Plan).
Leverage outputs of AI/ML models to provide actionable insights and recommendations to brand leadership on targeting strategy and performance drivers.
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 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 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.