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Director - Customer Insights and Engagement- Neuroscience

Job in Princeton, Mercer County, New Jersey, 08543, USA
Listing for: Bristol Myers Squibb
Full Time position
Listed on 2026-08-03
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 197800 - 239681 USD Yearly USD 197800.00 239681.00 YEAR
Job Description & How to Apply Below

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. 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  Summary The Director, Customer Insights & Analytics is the single accountable owner of the Customer Experience (CX) organization’s end-to-end data and measurement strategy — from metrics definition and data architecture through reporting cadence and governance — building rigorous, real-world-data-driven models of what is actually moving fulfillment, persistency, and patient enrollment, and closing the gap between assumption-based estimates and validated in-market performance.

The role carries a secondary, complementary focus on market research (generating and synthesizing patient and provider insight to inform solution design) and digital engagement analytics (measuring how patients and providers interact with digital touchpoints such as SMS programs, webinars, apps, and emerging AI-driven support tools). This is a highly cross-functional role reporting into the Executive Director, Customer Insights & Engagement, with a dotted line to the VP, Customer Experience, Neuroscience — reflecting the role’s dual accountability to the insights & analytics discipline and to the broader CX organization it serves.

The Director will directly inform CX strategic planning and the team’s shift toward a more frictionless, data-informed patient engagement model. Responsibilities Analytics & Measurement

  • Own the CX organization’s end-to-end data and measurement strategy — defining the metrics framework, data architecture, and reporting cadence used to track performance across fulfillment, persistency, compliance, and enrollment, and serving as the single point of accountability for data quality and consistency across all CX solutions
  • Own end-to-end measurement of CX success metrics — fulfillment, 30-/60-/90-day persistency, compliance, and Net Promoter Score — partnering with brand analytics, real-world data providers, and internal data/technology teams
  • Build, validate, and continuously refine annualized impact models underpinning CX solutions (e.g., SMS/refill reminder programs, community resource navigation, nurse support programs, EHR integrations, connected adherence devices), replacing preliminary benchmark assumptions with real-world performance data as programs mature
  • Lead root-cause and segmentation analysis on drop-off points across the treatment journey (access delays, early side-effect-related discontinuation, missed follow-up, referral fragility) to prioritize where investment yields the highest return
  • Partner with Innovation & Digital teams on integrated data infrastructure work, connecting patient, program, and partner data (CRM, EHR, pharmacy, claims) into a unified analytic view
  • Support validation of AI-driven triage and adherence-phenotyping models,…
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