Senior Manager, Customer Engagement Measurement & Insights

Job description

**Working with Us** Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us. **Roles & Responsibilities** **Customer Engagement Measurement & Intelligence** - Develop measurement frameworks to assess effectiveness of omnichannel engagement across field, CRM, paid media, owned digital, and third-party channels. - Analyze customer interaction data to identify patterns in engagement, channel synergy, sequencing, pacing, and message performance. - Translate analytical insights into clear recommendations on channel mix, content sequencing, and engagement frequency. - Identify engagement best practices and build playbooks that inform future campaign planning across brands. **Experimentation & Optimization** - Design and execute test-and-learn strategies including A/B tests, lift studies, and incrementality experiments across customer engagement tactics. - Define success metrics, measurement windows, and statistical approaches to evaluate new engagement strategies. - Partner with marketing, CRM, and field teams to embed analytical learnings into ongoing campaign execution. - Continuously refine experimentation frameworks to accelerate learning cycles and improve engagement effectiveness. **Advanced Analytics & Attribution** - Apply advanced analytics techniques to measure the incremental impact of customer engagement activities. - Utilize attribution frameworks such as multi-touch attribution, Markov chain modeling, and causal inference methods. - Integrate outputs from MMx, KDA, and predictive models to inform engagement optimization strategies. - Leverage machine learning techniques to identify high-value customer segments, channel saturation signals, and content effectiveness patterns. **Capability Building & Technical Mentorship** - Mentor junior analysts on advanced measurement methodologies, causal inference, and analytical best practices. - Conduct code reviews and promote high standards for analytical rigor and reproducibility. - Contribute to development of reusable analytics frameworks and measurement templates that scale across brands. **Skills & Competencies** - Strong expertise in customer engagement and omnichannel measurement frameworks. - Deep understanding of HCP and patient engagement journeys across digital, field, and media channels. - Strong analytical background in attribution modeling, causal inference, and incrementality measurement. - Hands-on programming expertise in Python or R for analytics and data transformation. - Experience translating analytical outputs into clear business insights and optimization recommendations. - Strong communication and stakeholder engagement skills in cross-functional commercial environments. - Ability to mentor technical team members and elevate analytical capabilities across the organization. **Required** **Experience & Qualifications** - Bachelor’s degree in data science, Analytics, Statistics, Economics, or a related field. - 10+ years of hands-on experience in advanced analytics or data science, with a strong focus on omnichannel engagement measurement across CRM, paid media, field, owned digital, and third-party ecosystems. - Deep understanding of HCP and patient omnichannel journeys, including the ability to assess promotion sequencing, pacing, channel synergy, interaction effects, and message level performance. - Strong expertise in attribution and impact measurement, including Markov chain, multi touch attribution, media mix modeling, and causal inference methods (e.g., propensity scoring, matched control, synthetic control). - Experience with test and learn frameworks for omnichannel tactics and translating findings into actionable insights. - Proven ability to translate analytical findings into business actions, partnering with media, CRM, and activation teams to drive measurable outcomes. - Proficiency with Python or R for analytical modeling and data transformation. - Experience with cloud-based analytics environments (Databricks, Snowflake, or equivalent). **Preferred** - Experience applying machine learning techniques, including embedding based clustering, identifying high value channel and journey patterns, content effectiveness, message fatigue, and under or over saturated channels. - Practical experience leveraging large language models (LLMs) as an insight and enablement layer on top of core analytics, including prompt design for classification, summarization, explanation of analytical results, and insight generation. - Ability to validate AI generated insights with analytical rigor and business logic, ensuring explainability, trust, and compliance. - Proficiency in SQL and machine learning modeling in Python (e.g., pandas, NumPy, scikit learn, statsmodels, causal libraries). *If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.* **Uniquely Interesting Work, Life-changing Careers** With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that