Director, International Predictive Customer Engagement (IPCE)

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 . DESCRIPTION The Director of International Predictive Customer Engagement (IPCE) leads an analytics organization responsible for transforming customer engagement in international markets through advanced AI, predictive modeling, and omnichannel orchestration to drive competitive advantage and analytically informed decision making. This role operates as a strategic consulting partner for international commercial leadership, driving enterprise-wide innovation, measurable business impact, and scalable AI capabilities across our international markets. The position requires strong leadership to connect analytics with business outcomes, govern complex multi-market delivery, and steer the evolution of next-generation engagement capabilities with both ML and GenAI. KEY RESPONSIBILITIES Strategic Leadership & Vision Define and execute the international strategy for predictive customer engagement, including existing predictive customer engagement solutions and next-generation AI-driven engagement capabilities Establish roadmap for AI/ML, GenAI, and omnichannel orchestration aligned with commercial priorities Serve as a thought leader in AI-driven customer engagement and represent the organization in industry forums Business Impact & Value Delivery Drive measurable business outcomes through predictive models, engagement strategies, and operational efficiency improvements Translate complex analytics into actionable commercial insights for senior leadership Ensure continuous optimization through test-and-learn and closed-loop feedback mechanisms Global Team Leadership & Capability Building Lead and scale a high-performing, globally distributed data science organization Foster a culture of accountability, innovation, and continuous learning Build consulting capabilities within the team to act as trusted advisors to markets Stakeholder Engagement & Strategic Partnership Serve as the primary bridge between analytics, commercial leaders, and cross-functional teams (Business Leaderships, Commercial Excellence, Commercial IT, Data and Cloud Engineering and other stakeholders) Establish strong partnerships with market leadership to co-create solutions and align priorities Facilitate executive-level discussions on brand strategy and engagement optimization Product & Solution Innovation Drive development and deployment of predictive models and AI solutions (e.g., Next Best Action predictive models, GenAI applications) Lead integration with enterprise platforms (CRM, marketing automation, data platforms) Champion adoption of innovative methodologies, including agentic AI and explainable AI Governance, Operating Model & Delivery Excellence Establish governance frameworks for demand intake, prioritization, and delivery across markets Ensure alignment across matrix teams and enforce execution discipline Mitigate delivery risks across multi-market initiatives through structured oversight Continuous Improvement & Scaling Lead expansion of IPCE capabilities across new markets and business areas Promote reuse of frameworks and standardized methodologies for scalability Drive ongoing innovation through monitoring industry trends and emerging technologies QUALIFICATIONS Education BA/BS required (quantitative area of study preferred) MBA/other graduate degree preferred Experience 7+ years of experience in advanced analytics, AI/ML Proven experience in leading large, complex projects with leadership of global, cross-functional analytics teams Experience in pharmaceutical or highly regulated industries preferred Technical Skills Proficiency in Python/R, SQL, Tableau/Power BI, and MS Office Suite Predictive modeling, machine learning, and AI-driven decision systems Hands on experience with designing and deploying machine learning models using Scikit-learn, TensorFlow, PyTorch etc. is preferred Generative and Agentic AI and advanced analytics frameworks Competencies Omnichannel marketing analytics and CRM integration Leadership & Business Skills Strong strategic thinking and ability to translate analytics into business value Exceptional stakeholder management and executive communication skills Experience driving global programs with complex governance structures #LI-Hybrid 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. Compensation Overview: Princeton - NJ - US: $197,800 - $239,681 The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.