Senior Manager, Customer Engagement Measurement & Insights

Develop and maintain measurement frameworks to evaluate omnichannel customer engagement effectiveness across multiple channels including field, CRM, paid media, and digital.

Design and execute test-and-learn strategies such as A/B tests and incrementality experiments, translating analytical insights into actionable recommendations for campaign optimization.

Apply advanced analytics and attribution techniques, including multi-touch attribution and machine learning, to optimize customer engagement and mentor junior analysts on these methodologies.

Bachelor’s degree in data science, Analytics, Statistics, Economics, or related field.

10+ years of hands-on experience in advanced analytics or data science focusing on omnichannel engagement measurement across CRM, media, field, and digital channels.

Proficiency in Python or R for analytical modeling and data transformation; experience with cloud-based analytics environments like Databricks or Snowflake.

Strong expertise in attribution modeling (e.g., Markov chain, multi-touch attribution), causal inference, and test-and-learn frameworks for customer engagement evaluation.

Experienced leader in customer engagement analytics with a deep understanding of HCP and patient omnichannel journeys and promotional sequencing.

Proficient in applying and operationalizing advanced analytical models including machine learning and causal inference to generate business insights and drive measurable outcomes.

Able to mentor technical teams and collaborate closely with cross-functional marketing, CRM, and field activation teams to embed data-driven optimization in campaigns.