Associate Director - US Predictive Customer Engagement

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: Predictive Customer Engagement team is responsible for developing and evolving the customer engagement AI capabilities to support decision-making and execution by scaling advanced data processing, novel reasoning patterns, and intelligent activities across marketing, field engagement optimization, and omnichannel experience orchestration. As an Associate Director on the team, you will lead the end-to-end development of AI capabilities—spanning the HCP 360 data foundation, field engagement recommendation/optimization, NPP/HOE & 3PP orchestration, and ensure these capabilities are productionized reliably, responsibly, and at enterprise scale. Key Responsibilities 1) AI/ML Product & Technical Leadership Own technical direction for AI capabilities that prioritize the right customer, content, journey/channels, and insights—and enhance capability maturity over time. Lead development of predictive and optimization components that translate HCP-level signals into engagement recommendations and insights. Drive “explainable AI” packaging so recommendations include interpretable drivers/insights that support pre-call planning and confidence. 2) Data & Feature Engineering for the HCP 360 Foundation Oversee engineering patterns for the “360 HCP dataset / data cube” that underpins the AI engine —ensuring reliability, lineage, and fit-for-purpose feature sets. Partner with upstream data teams and internal stakeholders to integrate new data feeds (e.g., patient opportunity inputs, engagement signals) into model-ready feature layers. 3) MLOps / DevOps / Production Excellence Lead production operationalization—covering refresh steps, runs, publishes, and cross-TA/brand workflows (bi-weekly, HOE, 3PP/digital, etc.). Establish strong engineering hygiene: CI/CD, code quality, standardized tooling, and repeatable release processes (e.g., consolidated linting/formatting and PR-based workflows). Drive reduction of “hotfix-as-BAU” by improving design patterns, backlog discipline, and root-cause remediation. 4) Governance, Risk, and Responsible AI Ensure AI enhancements follow required governance controls and risk review processes; coordinate artifacts and timelines so launches are not blocked by minimum assessment windows. Embed compliance needs into system behavior (e.g., suppression/opt-out handling discussions and related operational considerations). 5) Stakeholder Partnership & Delivery Leadership Serve as the technical counterpart to product/strategy stakeholders—translating business needs into prioritized, feasible engineering work (e.g., business request intake and delivery). Lead cross-functional working sessions to define hypotheses, pressure-test insights, finalize language, conduct system integration testing, and enable field readiness for launch. 6) Team Leadership & Talent Development Coach and develop engineers/data scientists; set technical standards; create a culture of operational excellence, high-quality documentation, and continuous improvement. Qualifications Required: BA/BS degree (quantitative area of study preferred) Minimum of 5 years of hands-on relevant experience in life science and healthcare industries (including data engineering, data science projects, designing, developing and deploying ML models) Proficiency in python, SQL, spark, git, MLOps Solid understanding of LLM, genAI and agentic AI application and development, with hands-on experience Great communication and interpersonal skills Preferred Master or PhD degree in relevant field Business stakeholder interfacing responsibility and experience Production-grade LLM application deployment Team management experience #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: $167,540 - $203,013 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. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include: Health Coverage: Medical, pharmacy, dental, and vision care. Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP). Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support. Work-life benefits include: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day. All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown. *Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. 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 View email address on click.appcast.io. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Candidate Rights BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. 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: 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 Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at View email address on click.appcast.io. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley. R1602558 : Associate Director - US Predictive Customer Engagement Data Privacy Link 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.