# Executive Director, Field Decision Intel

**Company**: Bayer
**Location**: Whippany, NJ
**Work arrangement**: onsite
**Experience**: executive
**Job type**: full-time
**Salary**: $220,240 - $330,360
**Category**: IT
**Industry**: Healthcare
**Wikidata**: https://www.wikidata.org/wiki/Q152051

**Apply**: https://talent.bayer.com/careers/job/562949978438095?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_687b5635-26b

## Description

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.

## Skills

### Required
- AI
- analytics
- decision intelligence
- data science
- machine learning
- leadership
- communication
- influencing

### Nice to have
- advanced degree
- 12+ years of leadership experience
- governance
- QA/QC
- evaluation frameworks
- predictive analytics
- field intelligence
- customer engagement technologies

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Source: [Apply at talent.bayer.com](https://talent.bayer.com/careers/job/562949978438095?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
