Senior Director, Customer Insights & Engagement - Cardiovascular
Bristol-Myers Squibb
- Location
- Princeton - NJ - US
- Work model
- On-Site
- Level
- Staff
- H-1B history
- 57 approvals (FY2023)
- Posted
- Aug 18, 2026
Skills
About this role
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 .
Summary
The Senior Director, Customer Insights & Engagement will serve as a strategic leader within the Customer Insights & Engagement organization, driving the design and execution of advanced analytics and market research insights and capabilities that optimize engagement and performance across a US Cardiovascular business. This role is accountable for delivering end-to-end analytics and insights, ensuring alignment with brand objectives and enterprise commercial strategies. As a senior leader, the position will partner closely with cross-functional stakeholders - including Brand Leads, Sales, Finance, Medical and Access Leads - to integrate insights into broader go-to-market plans and enable data-driven decision-making. The Senior Director will lead the development of standardized reporting frameworks, predictive models, and performance dashboards to monitor execution and resource allocation, while championing innovation in analytics, fostering adoption of advanced tools and methodologies (including AI and machine learning), and building organizational capabilities.
Responsibilities
Market Research & Analytics Leadership Develop and execute comprehensive primary and secondary market research plans focused on actionable insights and identification of potential brand opportunities. Oversee synthesis of data from multiple sources (APLD, IQVIA, SHS, Claims, Patient chart data, Brand Impact) to extract meaningful business insights that inform marketing strategies. Deliver clear, concise presentations that synthesize disparate data and demonstrate a deep understanding of market dynamics, competition, and brand performance. Cross-Functional Partnership Collaborate extensively with the AI Forecasting organization as well as the Centers of Excellence to ensure a unified and comprehensive approach to insights generation. Partner with Brand Leads (US and global) to proactively answer business questions, provide data-based solutions to strategic choices, and support senior leader presentations. Innovation & Advanced Analytics Identifies opportunities and leads the development and deployment of innovative approaches and techniques in insight generation that reflect best practice Advocate for the adoption and application of advanced analytics capabilities, including AI, machine learning, and other innovative methodologies to enhance insights generation and support strategic decision-making. Drive continuous improvement in analytics processes through innovation and capability building. Strategic Leadership Serve as a thought leader for market research and advanced analytics, proactively identifying emerging trends, innovative methodologies, and best practices to continuously elevate the organization’s insights capabilities Represent Customer Insights & Engagement in BU-level forums, collaborating with cross-functional partners to shape and influence long-term commercial strategies Champion the integration of advanced analytics (including AI and machine learning) into business processes, fostering a culture of innovation and