Executive Director, Field Decision Intel

At Bayer, we're visionaries driven to solve the world's toughest challenges and strive for a world where 'Health for all, Hunger for none' is a reality.

As an Executive Director, Field Decision Intelligence, you will be a strategic leader responsible for advancing AI-enabled analytics, decision intelligence, and customer engagement effectiveness across the Customer Engagement organization.

Field Decision Intelligence Leadership & AI Analytics Strategy

• Lead the vision, strategy, and evolution of AI-enabled customer engagement analytics and decision intelligence capabilities.
• Establish the strategic framework for governing, interpreting, and operationalizing AI-generated analytics, recommendations, and coaching insights.
• Serve as a senior thought partner to Customer Engagement leadership on AI and analytics shaping field decision making.
• Translate enterprise and brand objectives into AI-enabled analytical approaches driving measurable business outcomes.
• Lead field analytics for a priority brand, serving as player/coach to reshape capabilities and way of working of the field analytics team.

AI Agent Governance, QA/QC & Continuous Improvement

• Ensure AI-enabled insights, recommendations, and agentic capabilities are trusted, actionable, and scalable.
• Establish governance, QA/QC processes, monitoring frameworks, and corrective action mechanisms.
• Define standards for insight quality, recommendation relevance, explainability, consistency, and business value.
• Identify emerging AI capabilities and evolve analytics operating models.

Knowledge Curation & Analytical Frameworks

• Build and maintain a curated knowledge base of critical business questions, analytical methodologies, decision frameworks, prompting approaches, and best practices.
• Develop repeatable frameworks translating AI-generated outputs into actionable field guidance and measurable business outcomes.
• Codify how business questions should be asked, framed, and answered.
• Establish standards for structuring, delivering, and consuming insights.

Field Co-Creation & Adoption

• Partner with field leaders to co-create analytical approaches, decision-support models, and coaching strategies.
• Enable Customer Engagement leaders to leverage AI-enabled analytics, coaching recommendations, and decision-support capabilities.
• Drive best-practice sharing and scaling of successful AI-enabled decision approaches.
• Establish structured review processes with Customer Engagement leadership and field stakeholders.

Analytics & Insights Delivery

• Serve as player/coach on the team delivering customer engagement analytics, opportunity identification, performance measurement, predictive analytics, and AI-driven recommendations.
• Deliver proactive insights enabling leadership and field teams to make better decisions faster.
• Partner with Field Operations, Targeting, and Segmentation teams to evaluate targeting approaches, customer engagement strategies, and resource deployment.

Cross-Functional Partnership

• Partner closely with Customer Engagement Leadership, Field Operations & Field Effectiveness, Targeting & Segmentation, Marketing, Medical Affairs, Market Access, Learning & Development, Digital Product Teams, Data Science & AI, Knowledge Management Finance.

Organizational Leadership & Talent Development

• Recruit, develop, and retain a high-performing team of AI-fluent analysts, decision scientists, and analytics consultants.
• Foster a culture of accountability, innovation, customer focus, and continuous improvement.
• Establish clear performance expectations and development pathways.
• Build organizational capabilities supporting the evolving needs of an AI-enabled commercial organization.

Success Measures

• Improve adoption and utilization of AI-enabled analytics tools and recommendations.
• Demonstrate measurable improvement in the quality, accuracy, and actionability of AI-generated insights.
• Establish governance and QA/QC standards for AI analytics capabilities.
• Increase the speed and effectiveness of insight-to-action decision cycles.
• Improve field confidence and engagement with AI-enabled decision support.
• Build a scalable knowledge framework supporting AI-driven coaching and decision making.
• Deliver measurable ROI from AI-enabled analytics investments.
• Develop a high-performing, future-ready analytics team.
• Establish AI Analytics & Decision Intelligence as a differentiated strategic capability.

Requirements

• Minimum of a Bachelor's degree.
• High leadership experience in commercial analytics, decision intelligence, data science, AI-enabled analytics, or related functions.
• Pharmaceutical, biotech, healthcare, or life sciences experience.
• Demonstrated experience applying AI, advanced analytics, machine learning, or agentic systems to commercial decision making, customer engagement, or business transformation.
• Experience leading AI-enabled analytics teams, products, or strategic transformation initiatives.
• Deep understanding of customer engagement, commercial execution, and business analytics.
• Demonstrated success leading large, cross-functional teams.
• Strong executive communication and influencing skills.
• Proven ability to drive organizational change and transformation.