Associate Director, Analytics Product Management

Sanofi•Morristown, NJ

31d

About The Position

Join the team transforming care for people with immune challenges, rare diseases, cancers, and neurological conditions. In Specialty Care, you'll help deliver breakthrough treatments that bring hope to patients with some of the highest unmet needs. Ready to push the limits of what's possible? Join Sanofi in one of our US Market Access Shared Services functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world. Work collaboratively with matrix partners to manage the strategic attainment of product access and appropriate reimbursement at key customers by participating in and overseeing the negotiation process of financial terms, as well as documented terms and conditions, for assigned customers. As the Associate Director of Analytics Product Management, you will manage the development and delivery of advanced analytics solutions, web application development, and data products to support market access and pricing decisions. You will manage requirements for sophisticated analyses on patient longitudinal data, develop interactive dashboards and reports, and translate complex data into actionable insights for stakeholders. Your role will involve partnering with various departments to support strategic initiatives and leveraging analytics capabilities within our group to enhance data-driven decision-making. Core responsibilities of the role are as follows: About Sanofi: We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system - and innovative pipeline - enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives.

Requirements

Minimum 5 years of experience in the Pharmaceutical or Payer business.
Minimum 5 years of experience in analytics leveraging large datasets.
Proven experience in advanced analytics, including predictive modeling and machine learning applications.
Proficiency in data analysis.
Strong analytical and problem-solving skills.
Expertise in data visualization tools and dashboard development.
Understanding of longitudinal and formulary data assets.
Ability to interpret data and create narratives to inform business decisions.
Strong knowledge of the pharmaceutical business and market access.
Working knowledge of the US healthcare system and reimbursement environment.
Detail-oriented with exceptional organizational skills.
Ability to manage timelines and lead analytical projects.
Strong written and verbal communication skills.
Continuous learning mindset to stay updated with the latest methodologies and technologies in data analysis and machine learning
BA or BS Degree
Advanced Degree

Responsibilities

Develop and gather requirements, user stories, and adjust outcomes to align with business needs at the pace of business.
Experience managing timelines and quality control around data products is mandatory.
Ability to work with technical data personnel and engineers to drive outcomes for the business.
Ability to maintain JIRA (or other ticketing systems) to ensure objectives are met and team is accountable.
Ability to own the business rules and interpretation of dimensions and measures for key data products.
Ability to own high-level internal systems, responding to inbound user requests, working with engineers to resolve user needs and bugs.
Develop and maintain interactive dashboards and reports using business intelligence tools to support market access and pricing decisions.
Understanding of IQVIA syndicated data sets, FIA, APLD, etc.
Direct the analysis of large customer data sets to identify trends, patterns, and opportunities that inform strategic business decisions.
Direct advanced analytics on patient longitudinal data sets and provide actionable insights to stakeholders.
Create compelling data narratives and visualizations that effectively communicate complex analytical findings to diverse audiences.
Partner with various departments, including Pricing, Contract Development, Value and Access, Account Management, Finance, Forecasting, and Data Management, to support strategic initiatives.
Direct the application of machine learning techniques and predictive modeling to enhance analytical capabilities and forecast business outcomes.
Identify and leverage additional analytics capabilities and methodologies to enhance data-driven decision-making.
Collaborate with data engineering teams to ensure data quality, consistency, and availability for analytical purposes.
Stay current with the latest methodologies and technologies in data analysis and machine learning

Benefits

Bring the miracles of science to life alongside a supportive, future-focused team.
Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.

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