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Associate Director Sample Operations & Effectiveness

Bayer
11 hours ago
On-site
Whippany, NJ, United States
$163,200 - $224,000 USD yearly
Indeed

At Bayer, we believe work should matter. Every day, our teams push toward a future where "Health for all, Hunger for none" is within reach, and every role, from the lab to the field to the boardroom, helps us get there. We give people the ownership to shape outcomes, the support to grow through new skills and experiences, and a global community where different perspectives are valued. If you want your work to count and the room to become your best, you'll find it here. Associate Director Sample Operations & Effectiveness Bayer Pharmaceuticals is committed to delivering on its mission, Health for All, Hunger for None, by advancing a portfolio of innovative treatments. As Bayer advances its operating model toward Dynamic Shared Ownership, with an increased focus on customer-oriented and mission-based work, the goal of the Promotional Programs & Sample Operations function is to operationalize core activities supporting the Customer Engagement organization. The Associate Director, Sample Operations & Effectiveness is responsible for leading the day-to-day operational activities associated with Bayer’s sampling programs across US Pharmaceuticals. The position ensures compliant and effective program execution while using analytics, performance measurement, and optimization approaches to improve sample allocation, inventory utilization, and overall program effectiveness. The role works closely with Customer Engagement, Field Business Systems & Operations, Product and Portfolio teams, Compliance, Data and Analytics, Supply Chain, Technology teams, and external vendor partners. This position is located in Whippany, NJ. YOUR TASKS AND RESPONSIBILITIES The primary responsibilities of this role, Associate Director Sample Operations & Effectiveness, are to: Sample Effectiveness and Analytics Develop and maintain a sample effectiveness framework to evaluate the performance of Bayer’s sampling programs. Establish key performance indicators for sample utilization, practitioner reach, ordering activity, fulfillment, inventory utilization, and program performance. Develop recurring dashboards, scorecards, and reports that provide visibility into sample program performance. Analyze sample activity to identify trends, utilization patterns, operational gaps, and improvement opportunities. Integrate relevant sample, practitioner, field activity, product, and market information to support business reviews and decision-making. Provide Product teams, Customer Engagement, Field leadership, and other stakeholders with actionable insights regarding sample program performance. Establish performance baselines and benchmarks for existing sampling programs and new program launches. Assess the impact of changes to sampling programs, allocations, capabilities, or processes. Present findings, risks, opportunities, and recommended actions to appropriate business stakeholders and leadership. Sample Optimization Develop approaches to optimize sample allocations based on approved business rules, practitioner needs, historical utilization, product strategy, territory requirements, inventory availability, and compliance considerations. Identify potential over-allocation, underutilization, inventory imbalances, ordering anomalies, and gaps in sample availability. Recommend adjustments to allocation quantities, reorder thresholds, and distribution approaches based on program data and business needs. Partner with Product teams and Field leadership to align sample allocation approaches with approved brand and customer engagement strategies. Support the development of sample allocation and distribution strategies for product launches, indication expansions, field force changes, and other significant business events. Conduct scenario analyses to evaluate the potential inventory, operational, and financial implications of proposed sampling changes. Evaluate the results of implemented optimization initiatives and refine recommendations based on observed performan…

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