Sr Director US Insights and Analytics Enablement

Sanofi•Cambridge, MA
•$206,250 - $297,917•Hybrid

About The Position

The Senior Director, US Insights and Analytics Enablement will help advance Sanofi’s North America Insights & Analytics organization at the intersection of AI innovation, analytics capability transformation, and cross-enterprise partnership. The role will shape the future vision for insights and analytics, foster alignment across Commercial, Business Units, Digital, Medical, and People & Culture, and turn emerging opportunities into practical, scalable solutions for analytics, data science, forecasting, and market research. The position champions AI-enabled, data-driven decision-making and future-ready ways of working. It identifies and scales AI-powered capabilities, supports responsible and compliant use of AI, and develops initiatives that strengthen team readiness, adoption, and analytical performance. The role also represents Insights & Analytics in global transformation programs and influences enterprise digital roadmaps. The Senior Director leads the design, prioritization, governance, and execution of strategic capability and transformation programs across Analytics, Data Science, Forecasting, Data Management, and Market Research. Responsibilities include managing roadmaps, timelines, risks, vendors, and cross-functional dependencies; developing business cases and ROI frameworks; and supporting sustainable adoption across North America and global teams. The position is based in Cambridge, Massachusetts; the posting is tagged #LI-Hybrid.

Requirements

  • BA/BS degree and a scientific degree (MS or PhD) with a concentration in quantitative fields, or advanced certification in modern data science or machine learning.
  • At least 12 years of experience in a significant Data, Analytics, Data Science, or AI role, with advanced knowledge of analytical, data science, or AI techniques.
  • Proven success implementing AI models in the pharmaceutical realm.
  • At least 5 years of management experience.
  • Demonstrated leadership acumen and well-developed communication and presentation skills.
  • Strong organizational awareness and stakeholder navigation skills.
  • Ability to self-direct in ambiguous environments.
  • Strong strategic thinking and deep understanding of the life-sciences industry.
  • Experience with key pharmaceutical data sources and analytics platforms, including AI models such as Claude, OpenAI, or other open-weight models; national-level sales and demand data; longitudinal HCP and patient-level claims; specialty pharmacy and patient services data; CRM systems; media platform reporting tools; site analytics platforms; Customer Data Platforms; pseudonymous analytic environments; data management and analysis platforms; data visualization and business intelligence tools; and MS Office applications.
  • Ability to influence effectively in a highly matrixed environment.
  • Ability to communicate confidently and effectively with varied audiences, including senior leadership.
  • Ability to synthesize complex ideas into simple explanations.
  • Ability to develop brand implications from market research findings, rather than merely summarize data.
  • Strong learning agility and curiosity.
  • Strong attention to detail and accuracy, with analytical reasoning and problem-solving ability.
  • Strong work ethic and personal motivation.
  • Ability to think strategically in ambiguous environments and adapt as business needs change.
  • Demonstrated emotional intelligence and leadership skills.

Nice To Haves

  • Relevant therapeutic-area experience in pharmaceutical analytics.
  • Proficiency in programming languages, preferably SQL and Python.

Responsibilities

  • Serve as a strategic partner and thought leader across Commercial, Business Units, Digital, Medical, and People & Culture to align on the future vision for insights and analytics capabilities.
  • Broker cross-functional collaboration to identify emerging opportunities, surface unmet needs, and co-create solutions that improve analytical effectiveness and prepare the organization for AI-enabled decision-making.
  • Bring forward industry trends, competitive intelligence, and emerging AI and technology capabilities to challenge traditional approaches to insights generation, forecasting, and market research.
  • Champion cultural transformation toward experimentation, continuous learning, and adoption of next-generation analytical tools and methodologies.
  • Represent Insights & Analytics needs in global transformation programs, influence enterprise digital roadmaps, and present strategic recommendations to senior leadership to secure sponsorship and investment.
  • Establish strategic partnerships with Digital, AI solution providers, technology vendors, and implementation partners.
  • Monitor AI and analytics industry trends and translate external insights into actionable recommendations and strategic initiatives.
  • Identify and champion piloting and scaling AI-powered tools that enhance analytical productivity, insights generation, forecast accuracy, data management, and decision-making.
  • Partner with Digital and business stakeholders to assess emerging AI capabilities and translate them into practical, compliant applications with measurable business outcomes.
  • Design and deliver initiatives to prepare Insights & Analytics teams for AI-augmented ways of working, from foundational awareness to advanced proficiency.
  • Collaborate with Data Science and Business Intelligence teams to deploy AI-enhanced analytics, insights, and automation that improve forecasting and commercial decision-making.
  • Drive enterprise data and cultural transformation toward AI-enabled, data-driven insights generation in collaboration with Digital Global teams and business unit stakeholders.
  • Establish governance frameworks and guardrails for responsible, compliant, and ethical use of AI in analytics and market research.
  • Help shape change management and adoption strategies that support team readiness, proficiency, and sustained engagement with AI-enabled tools and ways of working.
  • Lead the design, prioritization, and execution of strategic capability and transformation initiatives for the North America Insights & Analytics roadmap.
  • Own program governance, timelines, and risk mitigation across concurrent initiatives, from opportunity identification through scaled deployment, ensuring measurable outcomes and sustainable adoption.
  • Manage interdependencies and align roadmaps with Commercial, Digital, People & Culture, Hub, US, and Global teams, translating business strategy into capability-building programs.
  • Develop business cases and ROI frameworks to prioritize capability and technology investments, balancing short-term gains with long-term capability building.
  • Lead change management for major capability rollouts in partnership with the Change Management function.
  • Manage strategic vendors and technology partners across the analytics technology ecosystem, ensuring delivery excellence and value realization.
  • Coordinate with Global Insights & Analytics teams to leverage global investments, align standards, and share best practices across markets.

Benefits

  • Thoughtful rewards package recognizing employee contributions.
  • Health and wellbeing benefits, including high-quality healthcare, prevention, and wellness programs.
  • At least 14 weeks of gender-neutral parental leave.
  • Employees may be eligible to participate in company employee benefit programs.
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