Senior Manager, Omnichannel Engagement Analytics

Bristol Myers Squibb; United States; A distancia; USD 150.000 - 190.000; Jornada completa

Descripción de la vacante

Bristol Myers Squibb seeks a Senior Manager to lead Customer Engagement Measurement & Insights, driving omnichannel analytics across CRM, field, paid media, owned digital, and third‑party channels.

You will design test‑and‑learn programs, apply attribution and causal inference methods, mentor analysts, and partner with marketing, CRM, and activation teams to translate data into actionable business impact, with an emphasis on scalable analytics and cross‑functional influence.

Formación

• Bachelor's degree in data science, analytics, statistics, economics, or related field.
• 10+ years in advanced analytics with omnichannel measurement.
• Deep understanding of HCP/patient omnichannel journeys.
• Expertise in attribution, multi-touch, MMM, causal inference.
• Experience with test-and-learn frameworks for omnichannel tactics.
• Proficiency in Python or R; cloud analytics (Databricks/Snowflake).

Responsabilidades

• Develop measurement frameworks for omnichannel engagement.
• Design and conduct test-and-learn programs (A/B tests, lift studies).
• Apply advanced analytics and attribution to inform engagement strategies.
• Mentor junior analysts and promote reproducible analytics.

Conocimientos

Omnichannel analytics

Engagement measurement

Attribution modeling

Python

R

Mentoring

Educación

Bachelor's degree in data science/analytics/economics

Herramientas

Python

R

SQL

Databricks

Snowflake

Descripción del empleo

Bristol Myers Squibb seeks a Senior Manager to lead Customer Engagement Measurement & Insights, driving omnichannel analytics across CRM, field, paid media, owned digital, and third‑party channels.

You will design test‑and‑learn programs, apply attribution and causal inference methods, mentor analysts, and partner with marketing, CRM, and activation teams to translate data into actionable business impact, with an emphasis on scalable analytics and cross‑functional influence.