Associate Director, Field Suggestions and Alerts

Summary

Lead the design, governance, and continuous optimization of AI-driven, field-facing engagement suggestions from the Omnichannel Orchestration Engine.

• Own product definition for field and CRM suggestions (next best actions, alerts, message prompts, content recommendations).
• Partner with CRM Insights Enablement and Salesforce/Veeva teams to deliver suggestions natively in frontline workflows.
• Define and monitor success metrics (relevance, explainability, adoption, execution rates, dismissal reasons).
• Translate brand/therapeutic area strategies into business rules, triggers, eligibility logic, and prioritization frameworks.
• Build logic that adapts to context and field constraints (workload, cadence, access, content availability, timing).
• Operationalize predictive/prescriptive model outputs (e.g., propensity/response/NBA) within field suggestion logic.
• Set AI guardrails (confidence thresholds, frequency caps, suppression/cooling, escalation) and ensure explainability for frontline use.
• Define agentic orchestration workflows for generating/ranking/suppressing/adapting/delivering suggestions across channels.
• Partner with CRM/marketing automation for reliable execution.
• Establish closed-loop learning using execution, outcomes, and field feedback.
• Monitor issuance/execution, dismissal reasons, non adoption, and early signs of suggestion fatigue.
• Ensure compliance with pharma promotion standards; define approval pathways and maintain documentation; manage change control.

• Bachelor’s degree (Master’s preferred) in Business/Analytics/Technology/Health Sciences or related.
• 5+ years in pharma/life sciences with experience in field operations, CRM/omnichannel strategy, and/or analytics.
• Experience translating strategy/analytics into practical, compliant, AI-enabled field recommendations.
• Familiarity with Salesforce, Veeva CRM/Engage, and marketing automation.
• Exposure to AI-enabled recommendations, experimentation frameworks, and partnering with data science/engineering teams.
• Knowledge of US promotional compliance requirements.
• Strong matrix/cross-functional and communication skills.
• Preferred: experience with agentic/AI-driven omnichannel orchestration engines.

• Health, wellbeing, financial protection (401(k), disability, life/insurance), and paid time off as listed (varies by eligibility).

$167,540–$203,013 (Princeton, NJ, US) plus potential incentive cash/stock (eligibility-based).