Associate Director, Omnichannel Engine Business Product Owner

Bristol Myers Squibb•Princeton, NJ

21h•Hybrid

About The Position

This person will help design, scale, and operate BMS’s agentic omnichannel orchestration and next‑best‑engagement engine as a core enterprise platform. This role operates at the intersection of data science, machine learning engineering, and commercial execution, translating brand and Therapeutic Area strategies into operational decision logic, ML‑powered recommendations, and closed‑loop automation that guide actions, content, and channel selection at the individual customer level (N=1). Serving as a key delegate to the Director, Omnichannel Engine Business Product Owner, the Associate Director collaborates closely with data scientists, ML engineers, and platform teams to define the decisioning and automation roadmap, support model design and deployment, and ensure agentic workflows are integrated with CRM, marketing automation, and measurement systems. This role also plays an important part in ensuring model interpretability, governance, and continuous learning across Oncology, Cardiovascular, Neurology, and other portfolios.

Requirements

Bachelor’s degree in Analytics, Computer Science, Engineering, Data Science, or related field (Master’s preferred).
Minimum 5 years experience in life sciences or regulated commercial environments, with 3+ years in omnichannel orchestration, decisioning engines, ML products, or analytics platforms.
Proven experience working directly with data scientists and ML engineers on model design, deployment, and lifecycle management.
Strong understanding of machine‑learning systems, including: Predictive and prescriptive modeling, Recommendation systems, Uplift and causal methods, Feature engineering and operationalization.
Familiarity with agentic AI concepts, including autonomous decisioning, tool/function calling, and multi‑step reasoning workflows.
Proficiency in Python or R, SQL, and ML libraries; experience with cloud analytics platforms (Databricks, Snowflake, Azure).
Experience leveraging large language models (LLMs) as reasoning or enablement layers, including: Embeddings and vector search, Prompt‑based classification and summarization, Tool or function calling connecting models and workflows.
Strong ability to validate AI‑generated insights for explainability, robustness, and regulatory trust.
Solid understanding of pharmaceutical data domains, CRM platforms (e.g., Salesforce, Veeva), and digital engagement tooling.

Nice To Haves

Master’s degree

Responsibilities

Support ownership of the product vision and technical roadmap for the omnichannel orchestration and next‑best‑engagement engine, with emphasis on agentic decisioning and ML‑driven automation.
Translate commercialization priorities and Therapeutic Area strategies into decisioning capabilities, inference patterns, and orchestration models.
Continuously evolve the roadmap based on model performance, learning velocity, adoption, and advances in agentic AI.
Work hands‑on with data scientists and ML engineers to design and operationalize: Predictive, uplift, response, and recommendation models; Agent‑based decision flows and hierarchical prioritization logic; Optimization objectives, constraints, and guardrails embedded into inference.
Define model input requirements, feature availability, refresh cadence, inference latency targets, and fallback logic.
Ensure ML outputs are translated into auditable, and actionable recommendations consumable by field and digital channels.
Partner with Brand and Therapeutic Area teams to convert customer strategies into formalized business rules, triggers, eligibility logic, and prioritization schemas.
Encode channel‑specific nuances across field, digital, patient, medical, and access contexts.
Balance rules‑based logic and probabilistic models to ensure performance, explainability, and compliance.
Define and maintain agentic orchestration workflows governing recommendation generation, prioritization, and delivery.
Partner with CRM and Marketing Automation engineering teams to enable low‑latency, scalable execution across Salesforce, Veeva, and related platforms.
Implement champion–challenger frameworks, A/B testing, and continuous experimentation within orchestration logic.
Architect closed‑loop feedback mechanisms linking recommendations issued, actions executed, and customer responses.
Partner with Business Insights, Measurement, and Data Engineering teams to define telemetry, diagnostics, and performance KPIs (e.g., adoption, decision quality, incremental lift).
Apply learnings to continuously tune models, features, thresholds, and orchestration rules.
Architect closed‑loop feedback mechanisms linking recommendations Content, taxonomy, and tagging frameworks; Measurement and experimentation platforms
Support incorporation of structured and select unstructured field and medical data, aligned with governance standards.
Advocate for data quality, schema consistency, latency SLAs, and versioned metadata as foundational requirements.
Enable API‑based, modular architecture that supports experimentation and scalable evolution.
Lead or coordinate portions of cross‑functional squads (data science, engineering, analytics, vendors) supporting engine build and operations.
Support delivery planning, vendor oversight, budgeting, and quality assurance for engine‑related initiatives.

Benefits

Medical, pharmacy, dental, and vision care.
BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
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.
flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees))
160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
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
annual Global Shutdown between Christmas and New Years Day.