Executive Director, Field Decision Intel
Merck & Co.
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Job summary
Bayer is seeking an Executive Director, Field Decision Intelligence to advance AI-enabled analytics and decision intelligence across Customer Engagement. This leader will build a modern analytics capability and govern AI-driven insights that drive measurable business outcomes.
Based in the United States, relocation may be considered for the right candidate. The role requires a Bachelor's degree with extensive leadership in commercial analytics or data science, plus experience in AI and
Qualifications
- Minimum Bachelor's degree; proven leadership in analytics or data science.
- Experience applying AI-enabled analytics to commercial decision making.
- Strong executive communication and influencing skills.
- Demonstrated ability to drive organizational change and transformation.
Responsibilities
- Lead the vision and strategy for AI-enabled customer engagement analytics across the organization.
- Define governance, QA/QC and evaluation frameworks for AI analytics capabilities.
- Build knowledge frameworks and prompt-based methodologies for enterprise AI adoption.
- Partner with field leaders to co-create analytics approaches and drive adoption across brands.
Skills
Education
Job description
At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
The Executive Director, Field Decision Intelligence is a strategic leader responsible for advancing AI-enabled analytics, decision intelligence, and customer engagement effectiveness across the Customer Engagement organization.
This leader will build and oversee a modern analytics capability that combines advanced analytics, AI agents, decision-support frameworks, and field co-creation to improve customer engagement outcomes. Rather than operating a traditional centralized insights function, this role will define how AI analytics are framed, governed, validated, and operationalized by field leaders and customer-facing teams.
As a trusted advisor to Customer Engagement leadership, this individual will establish the frameworks, knowledge assets, quality standards, and analytical approaches needed to ensure field teams can effectively leverage AI-generated insights, coaching, recommendations, and decision support. The role serves as a bridge between the field, analytics, data science, and digital organizations-ensuring AI-driven capabilities translate into measurable business impact, behavioral change, and improved customer outcomes.
This role will be based in Whippany, NJ. Candidates not commutable to the Whippany, NJ site must be willing/able to relocate as a remote working arrangement will not be accommodated. Relocation assistance may be offered based on the needs of the business.
- Lead the vision, strategy, and evolution of AI-enabled customer engagement analytics and decision intelligence capabilities across the Customer Engagement organization;
- Establish the strategic framework for how AI-generated analytics, recommendations, and coaching insights are governed, interpreted, and operationalized within Customer Engagement;
- Serve as a senior thought partner to Customer Engagement leadership on how AI and analytics should shape field decision making;
- Translate enterprise and brand objectives into AI-enabled analytical approaches that drive measurable business outcomes;
- Lead field analytics for one of our priority brands, serving as player/coach to reshape capabilities and way of working of the field analytics team.
- Serve as the senior leader accountable for ensuring AI-enabled insights, recommendations, and agentic capabilities are trusted, actionable, and scalable;
- Establish governance, QA/QC processes, monitoring frameworks, and corrective action mechanisms to continuously evaluate and improve the performance of AI analytics agents;
- Define standards for insight quality, recommendation relevance, explainability, consistency, and business value across AI-enabled analytics solutions;
- Identify emerging AI capabilities and evolve analytics operating models to support increasingly autonomous forms of decision support.
- Build and maintain a curated knowledge base of critical business questions, analytical methodologies, decision frameworks, prompting approaches, and best practices to improve field adoption of AI-enabled analytics;
- Develop repeatable frameworks that translate AI-generated outputs into actionable field guidance and measurable business outcomes;
- Codify how business questions should be asked, framed, and answered to consistently drive field action;
- Establish standards for how insights are structured, delivered, and consumed by field leaders.
- Partner directly 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 to improve customer engagement effectiveness;
- Drive best-practice sharing and scaling of successful AI-enabled decision approaches across teams and brands;
- Establish structured review processes with Customer Engagement leadership and field stakeholders to assess insight quality, adoption, behavioral change, business outcomes, and AI effectiveness.
- Serve as player/coach on the team responsible for delivering customer engagement analytics, opportunity identification, performance measurement, predictive analytics, and AI-driven recommendations;
- Deliver proactive insights that enable leadership and field teams to make better decisions faster;
- Partner with Field Operations, Targeting, and Segmentation teams to evaluate the effectiveness of targeting approaches, customer engagement strategies, and resource deployment through advanced analytics and AI-supported decision intelligence.
- 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
- Ensure alignment of resources, priorities, and initiatives to maximize customer and business impact.
- 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 that support the evolving needs of an AI-enabled commercial organization.
- The Executive Director will be evaluated on their ability to:
- Improve adoption and utilization of AI-enabled analytics tools and recommendations across the field;
- 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.
- Enable every Customer Engagement professional to operate at their highest potential by combining human expertise, curated knowledge, and trusted AI-driven intelligence to maximize customer impact and business outcomes.
Bayer seeks an incumbent who possesses the following:
- 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.
- Advanced degree (MBA, MS, PhD);
- 12+ years of leadership experience in commercial analytics, decision intelligence, data science, AI-enabled analytics, or related functions;
- Experience developing governance, QA/QC, and evaluation frameworks for AI systems and agents;
- Experience building knowledge management and prompting frameworks for enterprise AI adoption;
- Experience with predictive analytics, field intelligence, and customer engagement technologies;
- Strong track record of linking analytics-driven initiatives to measurable business outcomes.
This leader is:
- A strategic thinker fluent in AI, analytics, and decision science.
- Obsessed with business impact rather than activity metrics.
- Data-driven but customer- and field-centric.
- Comfortable operating at both executive and operational levels.
- Skilled at codifying knowledge and turning AI outputs into field-ready action.
- Passionate about co-creating with the field rather than pushing insights from the home office.
- Committed to continuous evaluation and improvement of AI-enabled capabilities.
This posting will be available for application until at least 09/16/2026.
Employees can expect to be paid a salary between $220,240 - $330,360. Additional compensation may include a bonus or commission (if relevant). Other benefits include health care, vision, dental, retirement, PTO, sick leave, etc. If selected for this role, the offer may vary based on market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.
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Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders. Bayer is an E-Verify Employer.
Location: United States : Residence Based : Residence Based
Division: Pharmaceuticals
Reference Code: 882551
Contact Us Email: hrop_usa@bayer.com
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