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.
Associate Manager, Customer Engagement Measurement & Insights (Ex-US)
Roles & Responsibilities
Customer Engagement Measurement & Analytics Delivery
- Independently lead and deliver measurement analyses assessing the effectiveness
of omnichannel HCP engagement across field, CRM, paid media, owned digital, and
third-party channels across Ex-US markets. - Develop and operationalize measurement frameworks, KPI tracking tools, and
performance dashboards aligned with brand and portfolio strategic priorities. - Build and automate analytics pipelines to improve speed, consistency, and
repeatability of insights delivery. - Synthesize analytical findings into clear, structured outputs and actionable
recommendations for senior stakeholders and business leadership.
Experimentation & Optimization.
- Design and execute AI-informed test-and-learn strategies including A/B tests, lift
studies, and incrementality experiments across HCP engagement tactics. - Define success metrics, measurement windows, and statistical approaches to
evaluate new engagement strategies and channel innovations. - Partner with marketing, CRM, and field teams to embed analytical learnings into
ongoing campaign execution and planning cycles. - Document and socialize experimental learnings to build institutional knowledge and
inform future campaign strategy.
Advanced Analytics & Attribution
- Apply advanced statistical and AI/ML techniques — including attribution modeling,
causal inference, and machine learning — to measure the incremental impact of
HCP engagement activities across the omnichannel ecosystem. - Integrate outputs from MMx, KDA, and predictive models to inform engagement
optimization strategies and commercial decision-making. - Operationalize LLMs as an insight and enablement layer for classification,
summarization, and automated insight generation.
Stakeholder Partnership & Communication
- Work closely with our global Ex-US customer engagement measurement team to
drive work prioritization, help transform capability and deliver BoW. - Partner with Ex-US Commercial stakeholders across Brand, Omnichannel Strategy,
Field Analytics, CRM, Digital, and Technology teams to drive AI-enabled
measurement solution design and delivery. - Translate complex measurement methodologies, model assumptions, and analytical
implications into clear, compelling narratives for both technical and non-technical
audiences. - Lead stakeholder presentations and working sessions with structured, insight-driven
storytelling focused on commercial impact and actionable recommendations. - Collaborate cross-functionally — including with global and regional teams — to
define problem statements, gather data, and align on measurement KPIs and
success criteria.
Team Collaboration & Capability Building
- Mentor junior analysts on advanced measurement methodologies, causal inference,
analytical best practices, and responsible data usage. - Lead peer code reviews and promote high standards of analytical rigor,
reproducibility, and documentation across all team deliverables. - Drive development of reusable analytics frameworks and measurement templates
that scale across brands and Ex-US markets. - Champion AI governance best practices — including risk management, model
monitoring, privacy standards, and human-in-the-loop principles.
Technical Execution & Data Stewardship. - Build and maintain AI-enabled measurement datasets, models, dashboards, and
automated workflows supporting omnichannel HCP engagement analytics. - Partner with data engineering, technology, and build teams to troubleshoot data
issues and provide measurement-driven feedback to enhance commercial solutions. - Ensure all analytical outputs are aligned with data governance, compliance, and
responsible use standards — including GDPR and other applicable Ex-US data
privacy regulations.
Skills & Competencies
- Strong expertise in HCP customer engagement and omnichannel measurement
across Ex-US markets. - Deep analytical background in attribution modeling, causal inference, and
incrementality measurement. - Strong business acumen and communication skills; ability to engage confidently with
senior commercial stakeholders across diverse, multi-market environments. - Ability to mentor and develop technical team members and elevate analytical
capabilities across the organization. - Solid project management skills; ability to lead multiple analytical workstreams
simultaneously with quality and on time. - Strong fit with BMS Behaviours (Passion, Innovation, Urgency, Accountability,
Inclusion, Integrity) is required.
Experience & Qualifications
- BA/BS required; advanced degree preferred in data science, analytics, statistics,
mathematics, economics, life sciences, computer science, or engineering. - 5+ years of hands-on experience in advanced analytics, decision science, or
omnichannel engagement measurement, ideally within an AI-driven commercial
environment. - Proven end-to-end experience delivering analytics and measurement projects, from
problem framing through stakeholder insight delivery. - Deep understanding of HCP omnichannel journeys, including promotion sequencing,
pacing, channel synergy, interaction effects, and message-level performance in Ex-
US market contexts. - Strong expertise in attribution and impact measurement, including multi-touch
attribution, Markov chain modeling, and causal inference methods (e.g., propensity
scoring, matched control, synthetic control). - Experience designing and executing test-and-learn frameworks and translating
findings into actionable business insights. - Proficiency in Python or R and experience with cloud-based analytics environments
(Databricks, Snowflake, or equivalent).
Preferred
- Experience applying machine learning techniques to identify high-value HCP
segments, channel saturation signals, content effectiveness patterns, and message
fatigue indicators. - Practical experience leveraging LLMs as an insight and enablement layer, with the
ability to validate AI-generated outputs with analytical rigor, business logic, and
compliance standards. - Experience in pharmaceutical, biotech, or healthcare industries strongly preferred.
- Familiarity with CRM platforms (e.g., Veeva) and AI-driven next-best-action
frameworks. - Exposure to Ex-US markets — including Europe, Asia, and Latin/South America — is
strongly preferred. - Understanding of Ex-US regulatory and data privacy frameworks (e.g., GDPR,
country-specific data protection laws) as applied to commercial analytics.
Technical Skills (Preferred)
- Python and SQL for statistical modeling, uplift modeling, driver analysis, and
propensity modeling. - Data visualization and dashboarding tools (e.g., Power BI, Tableau, Dash, R Shiny,
or similar). - Collaborative analytics environments (e.g., Databricks, Git-based workflows,
Snowflake, SharePoint). - Prompt engineering and RAG pipeline design for enterprise LLM applications
- MLOps practices and workflow automation tooling
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 goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
On-site Protocol
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
Supporting People with Disabilities
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.
Candidate Rights
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
Data Protection
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.
R1601992 : Associate Manager, Customer Engagement Measurement & Insights (Ex-US)