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Sanofi

Director, Field Sales Effectiveness-Analytics

Sanofi, Convent Station, New Jersey, us, 07961

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Director, Field Sales Effectiveness-Analytics

Join to apply for the Director, Field Sales Effectiveness-Analytics role at Sanofi. Job Title:

Director, Field Sales Effectiveness-Analytics Location:

Cambridge, MA; Bridgewater, NJ; Morristown, NJ About The Job

Ready to push the limits of what’s possible? Sanofi seeks a strategic analytics partner to support field sales leadership with sub-national insights and performance analytics that drive data-informed decision making, optimize resource allocation, and enhance field force effectiveness. This role reports to the Senior Director/Director, Field Sales Analytics and is based in Cambridge, MA or New Jersey locations. Sanofi aims to modernize its Go-to-Market capabilities (GTMC) and drive speed and value in commercial operations. The GTMC organization will centralize and standardize processes and tools to enable better decision making across products, markets, and the pipeline. Base pay range

$148,125.00/yr - $246,875.00/yr Main Responsibilities

Strategic partner to Field Sales leadership within a designated Therapeutic Area, supporting territory- and region-level planning, opportunity analysis, performance reviews, resource optimization, and new indication launches with actionable, sub-national analytics. Serve as the single point of contact for Customer Facing Capabilities for the Field – triage and manage multiple questions around Field Effectiveness. Develop, track, and refine KPIs that measure field sales execution and effectiveness, ensuring alignment with national brand strategy and collaboration with Insights & Analytics colleagues. Co-lead the creation and delivery of sub-national performance insights and translate data into strategic recommendations for field resource allocation, incentive design, pull-through strategies, and performance optimization. Co-lead ad-hoc and recurring sub-national analyses to identify trends across geographies and customer segments using metrics such as call activity, HCP engagement, territory coverage, and pull-through effectiveness. Ensure a unified “one version of the truth” by aligning methodologies, definitions, and data narratives with National Insights & Analytics teams and Advanced Analytics partners. Develop and manage field-facing dashboards and reporting tools for real-time decision-making by field leaders and senior commercial stakeholders. Liaise with external vendors and internal partners to deliver high-quality, timely sub-national Sales Force Effectiveness reports that are fit-for-purpose and actionable. Co-lead and collaborate in designing field tactics, including targeting effectiveness, sales cadence, pull-through initiatives, and deployment optimization strategies. Ensure data integrity by working with data governance and commercial data management teams to validate sources, define metrics, and troubleshoot inconsistencies. Mentor junior analysts and matrixed team members to drive team effectiveness and career growth. Lead hub day-to-day projects in a matrix management environment. Basic qualifications

BA/BS with a minimum of 7 years of experience in pharmaceutical analytics, forecasting, and/or sales operations; equivalent combination of education (MS/MBA/PhD) and/or consulting experience may be considered. Proven business acumen with strong communication and presentation skills. Well-developed strategic thinking with the ability to synthesize data into a coherent narrative and actionable insights. Strong analytical skills to design, develop, and execute analyses addressing complex business questions. Life sciences analytics experience with the ability to access and manipulate large data sets via cloud-based platforms. Experience with pharmaceutical data sources and analytics platforms, including IQVIA NPA/NSP, CRM systems (Veeva, Salesforce), data management/analysis platforms (Databricks, Snowflake), and BI tools (Power BI, Tableau, Qlik). MS Office applications (Excel, PowerPoint, Word). Excellent project management and prioritization skills in a matrix environment. Preferred qualifications

Ability to thrive in a fast-paced environment with ambiguity and a track record of delivering results. Experience with programming languages (SQL, R, Python) and data science principles. Experience applying AI/Machine Learning/data science methodologies to address quantitative questions and derive insights. Why Choose Us?

Join a team focused on bringing the miracles of science to life. Opportunities to grow your talent and career, including promotions or lateral moves, domestically or internationally. Rewards package that recognizes contribution and impact, plus comprehensive health and wellbeing benefits. Comprehensive parental leave and wellbeing programs. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, age, ancestry, nationality, marital status, disability, gender identity or expression, sexual orientation, or any other protected characteristic. #GD-SG #Onsite #vhd

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