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 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.

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.
• 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, including intake, prioritization, and governance processes.
• Direct executional activities (development, QA, maintenance, and operational support) and ensure accountability of hub teams.
• Implement AI-powered workflows for routine reporting tasks, freeing capacity for higher-value strategic work.

Stakeholder Engagement & Change Leadership

• 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.

Insights & Decision Support

• 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.