Senior Manager, Customer Engagement Measurement & Insights

Bristol-Myers Squibb Co; Hyderabad; Hybrid; INR 700,000 - 1,000,000; Full time

Job summary

Bristol Myers Squibb is seeking a Senior Manager for Customer Engagement Measurement & Insights to lead advanced analytics and omnichannel measurement across field, CRM, paid media, and digital channels. The role focuses on translating data into strategic engagement recommendations and scalable analytics frameworks.

The candidate will mentor analysts, design test-and-learn programs, and collaborate with marketing and activation teams to drive measurable outcomes in a global pharma environment.

Qualifications

• 10+ years of hands-on analytics or data science experience with omnichannel measurement.
• Strong expertise in attribution modeling, causal inference, and lift studies.
• Experience with cloud-based analytics environments and data transformation in Python or R.
• Experience translating analytics into business actions with cross-functional teams.
• Proficiency in SQL and machine learning modeling in Python.

Responsibilities

• Develop measurement frameworks to assess omnichannel engagement effectiveness across field, CRM, paid media, and digital channels.
• Analyze customer interaction data to identify engagement patterns, channel synergy, sequencing, pacing, and message performance.
• Translate insights into actionable recommendations on channel mix and engagement frequency.
• Build playbooks and best practices for future campaigns across brands.

Skills

Python

R

SQL

Education

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

Tools

Databricks

Snowflake

Job description

Senior Manager, Customer Engagement Measurement & Insights

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

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.
• Experience & Qualifications Required

Experience & Qualifications

• Required: 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.
• Preferred: 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.
• Preferred: Ability to validate AI generated insights with analytical rigor and business logic, ensuring explainability, trust, and compliance.
• Preferred: Proficiency in SQL and machine learning modeling in Python (e.g., pandas, NumPy, scikit learn, statsmodels, causal libraries).

How We Work

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities.

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 [e-mail].

Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. For roles based in Los Angeles County only: 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.

We’re creating innovative medicines for patients fighting serious diseases. We’re also nurturing our own diverse team with inspiring work and challenging career options. No matter the role, each one of us makes a contribution. And that makes all the difference.