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Senior Manager, Customer Engagement Measurement & Insights

Bristol Myers Squibb · Hyderabad

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Collected role description

<p>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.</p><br><p><span style="color:#000000"><b>Roles &amp; Responsibilities</b> </span></p><p style="color:!important"><span style="color:#000000"><b>Customer Engagement Measurement &amp; Intelligence</b> </span></p><ul><li><span style="color:#000000">Develop measurement frameworks to assess effectiveness of omnichannel engagement across field, CRM, paid media, owned digital, and third-party channels. </span></li></ul><ul><li><span style="color:#000000">Analyze customer interaction data from traditional and digital campaigns to identify patterns in engagement, channel synergy, sequencing, pacing, and message performance. </span></li></ul><ul><li><span style="color:#000000">Translate analytical insights into clear recommendations on channel mix, content sequencing, and engagement frequency. </span></li></ul><ul><li><span style="color:#000000">Identify engagement best practices and build playbooks that inform future campaign planning across brands. </span></li></ul><ul><li><span style="color:#000000">Lead omnichannel and digital campaign performance analytics across email, CRM, paid media, social, web, field, and third-party channels, defining the KPI framework and scorecards used by brand and omnichannel leadership. </span></li></ul><ul><li><span style="color:#000000">Analyze HCP and patient journeys, funnels, channel sequencing, and frequency to identify drivers of engagement and opportunities to optimize campaigns. </span></li></ul><ul><li><span style="color:#000000">Integrate insights from decision science outputs such as Marketing Mix Modeling (MMx), Key Driver Analysis (KDA), and attribution models to guide tactical optimization and improve commercial impact. </span></li></ul><ul><li><span style="color:#000000">Manage a team of leads and analysts working on omnichannel planning, measurement, and in-flight optimization. </span></li></ul><p style="color:!important"><span style="color:#000000"><b>Experimentation &amp; Optimization</b> </span></p><ul><li><span style="color:#000000">Design and execute test-and-learn strategies including A/B tests, lift studies, and incrementality experiments across customer engagement tactics. </span></li></ul><ul><li><span style="color:#000000">Define success metrics, measurement windows, and statistical approaches to evaluate new engagement strategies. </span></li></ul><ul><li><span style="color:#000000">Partner with marketing, CRM, and field teams to embed analytical learnings into ongoing campaign execution. </span></li></ul><ul><li><span style="color:#000000">Continuously refine experimentation frameworks to accelerate learning cycles and improve engagement effectiveness. </span></li></ul><ul><li><span style="color:#000000">Design and oversee A/B and multivariate tests on subject lines, content, send times, channel sequences, and audience segments, and maintain a reusable test-and-learn playbook. </span></li></ul><p style="color:!important"><span style="color:#000000"><b>Advanced Analytics &amp; Attribution</b> </span></p><ul><li><span style="color:#000000">Apply advanced analytics techniques to measure the incremental impact of customer engagement activities. </span></li></ul><ul><li><span style="color:#000000">Utilize attribution frameworks such as multi-touch attribution, Markov chain modeling, and causal inference methods. </span></li></ul><ul><li><span style="color:#000000">Integrate outputs from MMx, KDA, and predictive models to inform engagement optimization strategies. </span></li></ul><ul><li><span style="color:#000000">Leverage machine learning techniques to identify high-value customer segments, channel saturation signals, and content effectiveness patterns. </span></li></ul><p style="color:!important"><span style="color:#000000"><b><span></span></b> </span></p><p style="color:!important"><span style="color:#000000"><b>Capability Building &amp; Technical Mentorship</b> </span></p><ul><li><span style="color:#000000">Mentor junior analysts on advanced measurement methodologies, causal inference, and analytical best practices. </span></li></ul><ul><li><span style="color:#000000">Conduct code reviews and promote high standards for analytical rigor and reproducibility. </span></li></ul><ul><li><span style="color:#000000">Contribute to development of reusable analytics frameworks and measurement templates that scale across brands. </span></li></ul><ul><li><span style="color:#000000">Manage and develop a team of analysts, setting priorities, reviewing deliverables, and building digital and campaign analytics capabilities. </span></li></ul><p style="color:!important"><span style="color:#000000"><span></span> </span></p><p style="color:!important"><span style="color:#000000"><span></span><span></span> </span></p><p style="color:!important"><span style="color:#000000"><b>Skills &amp; Competencies</b> </span></p><ul><li><span style="color:#000000">Strong business and technical expertise in customer engagement / campaign performance measurement, digital and omnichannel analytics, and causal inference, combined with the ability to translate analytical signals into clear business recommendations. </span></li></ul><ul><li><span style="color:#000000">Deep understanding of HCP and patient engagement journeys across digital, field, and media channels. </span></li></ul><ul><li><span style="color:#000000">Strong analytical background in attribution modeling, causal inference, and incrementality measurement. </span></li></ul><ul><li><span style="color:#000000">Hands-on programming expertise in Python or R for analytics and data transformation. </span></li></ul><ul><li><span style="color:#000000">Experience translating analytical outputs into clear business insights and optimization recommendations. </span></li></ul><ul><li><span style="color:#000000">Strong communication and stakeholder engagement skills in cross-functional commercial environments. </span></li></ul><ul><li><span style="color:#000000">Ability to mentor technical team members and elevate analytical capabilities across the organization. </span></li></ul><ul><li><span style="color:#000000">Campaign performance analysis and optimization expertise, with the ability to turn performance data into actionable campaign recommendations for senior stakeholders. </span></li></ul><ul><li><span style="color:#000000">Strong understanding of digital marketing metrics and channel mechanics (e.g., email, programmatic, paid social, search, web). </span></li></ul><ul><li><span style="color:#000000">Stakeholder management and influencing skills with marketing, campaign, and omnichannel leadership. </span></li></ul><p style="color:!important"><span style="color:#000000"><span></span><span></span> </span></p><p style="color:!important"><span style="color:#000000"><b>Experience &amp; Qualifications</b> </span></p><p style="color:!important"><span style="color:#000000">Required </span></p><ul><li><span style="color:#000000">Bachelor’s degree in data science, Analytics, Statistics, Economics, or a related field. </span></li></ul><ul><li><span style="color:#000000">10+ years of hands-on experience in digital, marketing, advanced analytics or data science, with a strong focus on omnichannel engagement measurement across CRM, paid media, field, owned digital, and third-party ecosystems. </span></li></ul><ul><li><span style="color:#000000">Experience leading campaign performance reporting and optimization across multiple digital and field channels, including managing analysts or analytics workstreams. </span></li></ul><ul><li><span style="color:#000000">Deep understanding of HCP and patient omnichannel journeys, including the ability to assess promotion sequencing, pacing, channel synergy, interaction effects, and message level performance. </span></li></ul><ul><li><span style="color:#000000">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). </span></li></ul><ul><li><span style="color:#000000">Experience with test and learn frameworks for omnichannel tactics and translating findings into actionable insights. </span></li></ul><ul><li><span style="color:#000000">Proven ability to translate analytical findings into business actions, partnering with media, CRM, and activation teams to drive measurable outcomes. </span></li></ul><ul><li><span style="color:#000000">Proficiency with Python or R for analytical modeling and data transformation. </span></li></ul><ul><li><span style="color:#000000">Experience with cloud-based analytics environments (Databricks, Snowflake, or equivalent). </span></li></ul><p style="color:!important"><span style="color:#000000">Preferred </span></p><ul><li><span style="color:#000000">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. </span></li></ul><ul><li><span style="color:#000000">Exposure to generative AI tools to support insight summarization and reporting automation is a plus. </span></li></ul><ul><li><span style="color:#000000">Ability to validate AI generated insights with analytical rigor and business logic, ensuring explainability, trust, and compliance. </span></li></ul><ul><li><span style="color:#000000">Proficiency in SQL and machine learning modeling in Python (e.g., pandas, NumPy, scikit learn, statsmodels, causal libraries). </span></li></ul><ul><li><span style="color:#000000">Familiarity with ad platform and programmatic reporting (e.g., DV360, LinkedIn, Meta, DSP data). </span></li></ul><ul><li><span style="color:#000000">Familiarity with pharma commercial data (e.g., Veeva CRM, Approved Email, rep-triggered email, HCP engagement data, claims/Rx data). </span></li></ul><p style="color:!important"><span style="color:#000000"><span></span> </span></p><br><p style="text-align:left !important">We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.<br></p><p style="text-align:left !important"><b>How We Work</b></p><p>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. Learn more at <a target="_blank" href="https://careers.bms.com/life-at-bms/ways-of-working/"><span style="color:#0875e1"><u>https://careers.bms.com/ways-of-working.</u></span></a></p><br><p><b>Supporting People with Disabilities</b></p><p>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 <a target="_blank" href="mailto:adastaffingsupport@bms.com"><span style="color:#0875e1"><u>adastaffingsupport@bms.com</u></span></a>. Visit <a target="_blank" href="https://careers.bms.com/eeo-accessibility"><span style="color:#0875e1"><u>careers.bms.com/eeo-accessibility</u></span></a> to access our complete Equal Employment Opportunity statement.</p><br><p><b>Candidate Rights</b></p><p>BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.</p><br><p>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: <a target="_blank" href="https://careers.bms.com/california-residents/"><span style="color:#0875e1"><u>https://careers.bms.com/california-residents/</u></span></a></p><br><p><b>Data Protection</b></p><p>We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at <a target="_blank" href="http://careers.bms.com/fraud-protection"><span style="color:#0875e1"><u>https://careers.bms.com/fraud-protection</u></span></a>.</p><br><p>Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.</p><p>If this posting is missing required information required by local law or incorrect, contact BMS at <a target="_blank" href="mailto:TAEnablement@bms.com"><span style="color:#0875e1"><u>TAEnablement@bms.com</u></span></a> with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.</p><p><br><br></p>R1599958 : Senior Manager, Customer Engagement Measurement &amp; Insights

Collected experience requirement

10+ years