Associate Director, Field Reporting & Intelligence

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.