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Bristol Myers Squibb

Makes drugs for cancer, blood and immune diseases

Director, Drug Development AI Nexus Decision Integration Lead

Business OperationsConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A BA/BS degree is required; an advanced degree (PhD, MD, MBA, or equivalent) in a life science, clinical, computational, or related discipline is strongly preferred.
  • At least 8 years of pharmaceutical R&D experience, including meaningful time in or adjacent to clinical development, translational science, or drug development operations.
  • Demonstrated understanding of drug development from IND-enabling handoff through Phase 1–3 development and regulatory submission.
  • Familiarity with Development governance structures, including TRCs, TGCs, GPT operating models, and how decisions are made, escalated, and recorded.
  • Experience working within or closely partnering with Global Program Teams (GPTs) or equivalent cross-functional development teams.
  • Experience deploying or scaling digital tools, AI-enabled workflows, or data platforms in an R&D or clinical operations context.
  • Ability to evaluate emerging AI capabilities and identify high-value applications that improve decision-making, organizational learning, and portfolio outcomes, such as predictive modeling, natural language processing for clinical evidence synthesis, and agentic workflow design.
  • Ability to translate clinical and operational business challenges and decision-making needs into actionable capability, workflow, data, and platform requirements.
  • Comfort working at the interface of science, analytics, and technology, moving between clinical discussions and product backlog conversations.
  • Ability to drive adoption of new tools, processes, or operating models in a highly matrixed organization without direct managerial authority.
  • Track record of leading complex, cross-functional change initiatives in a regulated pharmaceutical environment.
  • Ability to communicate effectively with senior Drug Development leadership, GPT leads, and platform engineers about the rationale for AI Nexus.
  • Experience building coalitions, managing resistance, and sustaining momentum through long adoption cycles.
  • Ability to listen, understand unstated concerns, and adapt engagement approaches by audience.
  • Strong strategic thinking and problem-solving, including operating in ambiguity, synthesizing complex inputs, and driving toward clear decisions.
  • Strong project and portfolio management experience.

Responsibilities

  • Translate Drug Development strategic priorities, business requirements, and decision-making needs into scalable business capabilities, AI-enabled workflows, data requirements, and AI Nexus roadmap priorities.
  • Serve as the Drug Development anchor for the AI Nexus platform, translating its vision into executable workflows embedded in Global Program Teams and governance forums.
  • Map, prioritize, and redesign Drug Development decision points, from phase transition and regulatory milestone reviews to portfolio-level governance, to leverage AI Nexus-enabled evidence, agentic analysis, and learning loops.
  • Partner with AI Nexus Product Leadership (BI&T) and Platform Engineering teams to communicate Drug Development decision needs and ensure the platform is built and iterated to serve them.
  • Translate operational and clinical needs into structured, AI-ready workflow requirements with defined data requirements.
  • Drive AI Nexus adoption across Drug Development through demonstrated value in live GPTs and culture-driven change management.
  • Build and sustain a network of Drug Development champions, GPT leads, and functional stakeholders who use and shape Nexus workflows.
  • Develop and execute adoption strategies tailored to study teams, clinicians, program leaders, and executive leaders.
  • Demonstrate AI-augmented ways of working as part of Drug Development's evolution toward an agentic operating model.
  • Contribute to the AI Nexus SteerCo and cross-functional working groups, ensuring Drug Development priorities are reflected in platform roadmap and investment decisions.
  • Help define and operationalize an AI-native Drug Development operating model, embedding AI-enabled decision support, governance integration, learning systems, and workflow standards across development processes.
  • Design scalable frameworks extending from GPT-level integration to broader Drug Development governance and cross-therapeutic-area portfolio processes.
  • Track and report AI Nexus adoption, impact, and return across Drug Development functions; align metrics to decision quality, speed, and portfolio outcomes, and use data to drive prioritization and course correction.
  • Contribute to operational excellence in Drug Development by supporting an integrated, intelligence-driven system for quality, speed, and efficiency.

Desired Qualifications

  • Experience with data governance, knowledge management, or AI-ready data standards.
  • Familiarity with agile ways of working.
  • Experience in operational excellence, continuous improvement, and change management.
  • Certification such as Lean Six Sigma, Prosci, or CCMP.

About the Company

Bristol Myers Squibb

Makes drugs for cancer, blood and immune diseases

Bristol Myers Squibb discovers, develops and sells prescription medicines for serious illnesses, including cancer, blood disorders, immune diseases and heart disease, for patients treated by doctors and hospitals around the world. Its best-known drug is Opdivo, an immunotherapy that helps the body's own immune system find and attack many kinds of cancer. Researchers develop drug candidates in its labs or bring them in through acquisitions and partnerships, then test them in clinical trials to win regulatory approval. The company makes and markets the approved medicines and earns its revenue from sales of patent-protected drugs. Its roots go back to a business founded in 1887, and it is based in Lawrence Township, New Jersey.

Company size
10,001+
Company stage
IPO
Headquarters
Lawrence Township, NJ
Founded
1887

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