Associate Director, Field Reporting & Intelligence
Sanofi
August 24, 2026
Remote friendly (Morristown, NJ)
United States
$133,500 - $192,833.33 USD yearly
Operations
Main Responsibilities
- 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 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.
- Improve reporting efficiency, insight generation, and user experience through automation and digital innovation while maintaining explainability.
Semantic Governance & Data Stewardship
- 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.
- 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.
Operating Model & Hub Leadership
- Define and manage operating model for commercial reporting (intake, prioritization, governance).
- Direct development/QA/maintenance/operational support activities and ensure hub accountability.
- Drive scalable, standardized ways of working across distributed teams.
- Implement AI-powered workflows for routine reporting tasks.
Stakeholder Engagement & Change Leadership
- Partner with Field Leadership, Brand Teams, and Commercial Operations on reporting, analytics, and AI-enabled insights.
- Lead communications on reporting changes; enable adoption through training and engagement.
- Support change management for analytics modernization and AI adoption.
Insights & Decision Support
- Translate complex commercial data into clear, actionable insights.
- Implement and scale self-service analytics and AI-enabled exploration.
- Validate AI-generated insights against governed reporting sources.
About You
Required Qualifications
- 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).
- Strong project and stakeholder management skills.
- Excellent communication and influencing skills.
Preferred Qualifications / Skills
- Experience with pharmaceutical commercial data sources and semantic data models, KPI governance, or business rules frameworks.
- Exposure to AI-enabled analytics, automation tools, or digital analytics capabilities.
- Experience working in or with offshore/Hub operating models.
- AI Fluency & Digital Enablement; Semantic Thinking & Data Governance Mindset; Strategic Thinking & Commercial Acumen; Change Leadership & Adoption Management; Analytical Rigor & Data Literacy; Project & Program Management.
- 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 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.
- Improve reporting efficiency, insight generation, and user experience through automation and digital innovation while maintaining explainability.
Semantic Governance & Data Stewardship
- 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.
- 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.
Operating Model & Hub Leadership
- Define and manage operating model for commercial reporting (intake, prioritization, governance).
- Direct development/QA/maintenance/operational support activities and ensure hub accountability.
- Drive scalable, standardized ways of working across distributed teams.
- Implement AI-powered workflows for routine reporting tasks.
Stakeholder Engagement & Change Leadership
- Partner with Field Leadership, Brand Teams, and Commercial Operations on reporting, analytics, and AI-enabled insights.
- Lead communications on reporting changes; enable adoption through training and engagement.
- Support change management for analytics modernization and AI adoption.
Insights & Decision Support
- Translate complex commercial data into clear, actionable insights.
- Implement and scale self-service analytics and AI-enabled exploration.
- Validate AI-generated insights against governed reporting sources.
About You
Required Qualifications
- 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).
- Strong project and stakeholder management skills.
- Excellent communication and influencing skills.
Preferred Qualifications / Skills
- Experience with pharmaceutical commercial data sources and semantic data models, KPI governance, or business rules frameworks.
- Exposure to AI-enabled analytics, automation tools, or digital analytics capabilities.
- Experience working in or with offshore/Hub operating models.
- AI Fluency & Digital Enablement; Semantic Thinking & Data Governance Mindset; Strategic Thinking & Commercial Acumen; Change Leadership & Adoption Management; Analytical Rigor & Data Literacy; Project & Program Management.