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Associate Director, Field Reporting & Intelligence
SanofiAssociate Director leading field reporting, analytics, and AI solutions for Sanofi's commercial business. Overseeing strategy, governance, and implementation of analytics across the US market.
Posted 7/10/2026full-timeCambridge • Massachusetts, New Jersey • 🇺🇸 United StatesSenior💰 $133,500 - $192,833 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in commercial reporting and analytics, with a strong focus on AI-enabled tools and automation. Proven ability to manage KPI governance, ensure data integrity, and translate complex data into actionable insights for strategic decision-making.
Highest-signal resume keywords
Commercial ReportingAnalytics SolutionsAI-Enabled InsightsKPI GovernanceStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Commercial ReportingAnalyticsBusiness IntelligenceKPI GovernanceSemantic Data ModelsData IntegrityAutomation ToolsDigital AnalyticsReporting LogicInsight Generation
Soft Skills
Communication SkillsInfluencing SkillsProject ManagementChange ManagementCollaboration
Tools & Technologies
TableauPower BIQliksenseAI ToolsEnterprise Reporting Tools
Certifications & Qualifications
Bachelor's DegreeMBA or Advanced Degree Preferred
Industry Keywords
PharmaceuticalBiotechCommercial Data SourcesOffshore Operating ModelsBusiness Rules Frameworks
Tech Stack
Tools & technologiesTableau
About the role
Key responsibilities & impact- Lead strategy, roadmap, and lifecycle management of commercial reporting and analytics solutions (e.g., Tableau, Power BI and other enterprise tools)
- Ensure structured reporting is the governed foundation for commercial decision-making, aligned to standardized KPIs, business definitions, and reporting logic.
- Implement and govern AI powered conversational analytics capabilities by ensuring outputs are grounded in trusted reporting frameworks and trusted data sources.
- Partner with Digital and Data teams to integrate AI tools and automation into the reporting ecosystem in a controlled and scalable manner
- Identify opportunities to improve reporting efficiency, insight generation, and user experience through automation and digital innovation to enhance productivity while maintaining explainability.
- Serve as business owner for KPI definitions, semantic alignment, and reporting logic across commercial analytics platforms
- Ensure consistency of business definitions across structured reporting and AI-enabled consumption layers
- Act as key business context expert to ensure AI-generated insights are accurate, explainable, and commercially relevant
- Partner with Data Engineering and Digital teams to ensure semantic models are reflected accurately across reporting and AI tools
- Establish and enforce governance standards for reporting consistency, data integrity, and metric alignment
- Define and manage operating model for commercial reporting, including intake, prioritization, and governance processes
- Direct executional activities (development, QA, maintenance, and operational support) and ensure accountability of hub teams
- Drive scalable, standardized ways of working across distributed teams to improve efficiency and quality
- Implement AI-powered workflows for routine reporting tasks, freeing capacity for higher-value strategic work.
- Serve as strategic partner to Field Leadership, Brand Teams, and Commercial Operations on reporting, analytics, and AI-enabled insights
- Lead communication of reporting changes, ensuring clarity, alignment, and stakeholder adoption
- Enable adoption and effective use of structured reporting and AI-enabled tools through training, guidance, and engagement
- Support change management efforts associated with analytics modernization and AI adoption
- Translate complex commercial data into clear, actionable insights for field and business decision-making
- Implement and scale self-service analytics and AI-enabled exploration capabilities
- Ensure AI-generated insights are validated against governed reporting sources for accuracy and trust.
Requirements
What you’ll need- Bachelor’s degree required; MBA or advanced degree preferred
- 7+ years of experience in commercial reporting, analytics, or business intelligence (pharma/biotech preferred, consulting considered)
- Experience with enterprise reporting tools (Qliksense, Tableau, Power BI, or similar)
- Experience working with pharmaceutical commercial data sources and semantic data models, KPI governance, or business rules frameworks strongly preferred
- Exposure to AI-enabled analytics, automation tools, or digital analytics capabilities
- Experience working in or with offshore/Hub operating models preferred
- Strong project and stakeholder management skills
- Excellent communication and influencing skills across all organizational levels.
Benefits
Comp & perks- Employees may be eligible to participate in Company employee benefit programs