Director, Insights & Innovation - Trial Analytics, Insights & Planning

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it. Position Summary The Director, Insights & Innovation (I&I) will serve as a senior analytical, data science, and methodological authority and leader within TAIP, accountable for owning the roadmap to develop, deliver, and continuously evolve automated, advanced analytics and AI-enabled decision-support capabilities across the trial lifecycle. This role bridges portfolio analytics, applied data science, data governance, and analytics product stewardship, ensuring that insights used throughout trial design, feasibility, enrollment forecasting and execution are scalable, explainable, and decision driving, delivered via Photon and other enterprise platforms. This position can be located at any of the following BMS hubs: Princeton, NJ, US; Uxbridge, UK; Warsaw, Poland; or Boudry, Switzerland. Key Responsibilities Analytics & Data Science Roadmap Ownership – own and orchestrate the end-to-end roadmap for TAIP’s advanced analytics capabilities, including automated, predictive, and AI-enabled solutions. Define priority use cases, maturity stages, and value realization in partnership with TAIp leadership, Business Insights & Technology, and Data Science counterparts (e.g., DQS). Ensure roadmap alignment to portfolio and trial decision points, not just tool delivery. Analytical & Methodological Stewardship – own and govern the analytical methodologies underpinning TAIP deliverables across feasibility, site selection, enrollment forecasting, and portfolio insights. Define when specific methods, metrics, or tools are appropriate, and when they are not. Analytics Products, Platforms & Value Delivery – provide business ownership for analytics products used by TAIP (e.g., Photon, Comet), solutions are designed for automation, scalability, and reuse. Translate business needs into analytically sound solution concepts and sense check technical proposals from IT or vendors. Applied Data Science & Advanced Analytics Leadership – shape how predictive modeling, simulation, machine learning, and AI are responsibly applied within TAIP to inform trial and portfolio decisions. Partner with enterprise data science teams to define analytical approaches, success criteria, and validation expectations, while ensuring transparency, interpretability, and regulatory appropriateness. Portfolio & Execution Decision Support – translate complex analytical outputs into clear, decision-ready insights for senior leadership forums. Ensure outputs answer the right business questions, at the right time, with appropriate confidence. Provide informed challenge when analytics risk being misapplied, over-interpreted or operationally misaligned. Governance, Risk & Decision Integrity – act as a point of accountability for analytical integrity, escalation of risk, and limitation disclosure. Partner with relevant business stakeholders (e.g., Clinical operations, Biostatistics, Data Governance, etc.) to align methodologies and avoid parallel or conflicting standards. Clarify and align ownership boundaries to accelerate delivery and avoid rework. Capability Building & Analytical Culture – mentor junior analysts and strategists to develop strong analytical judgment, methodological literacy, and confidence to challenge assumptions, tools, and stakeholders. Promote a culture where clarity, transparency, and rigor are valued over speed or optics. Qualifications & Experience Bachelor degree required; advanced degree preferred (MBA, MSc, PhD, or equivalent) in a relevant field 10+ years of experience across clinical development, trial analytics, biostatistics, data governance, advanced trial analytics, or management consulting Demonstrated experience working with data scientists, advanced analytics, or AI-enabled solutions, with the ability to translate business questions into analytically tractable problems. Experience governing analytics platforms, tools, or data products in regulated or high-risk environments. Strong understanding of predictive modeling, simulation, and/or machine learning concepts sufficient to challenge assumptions, evaluate limitations, and guide roadmap decisions. Proven ability to act as a bridge between business stake and IT/data science teams, shaping solutions from concept through adoption. Proven track record of driving adoption of new systems, methods, or reporting processes across large organizations. Experience with enterprise analytics systems (Workbench, Performance Central, CTMS, etc.) Strong documentation, communication, and decision-framing skills Proven ability to lead teams, engage with senior stakeholders, and operate effectively across global functions Why Join This Team? Shape TAIP’s future capabilities by leading cross-trial intelligence and governance integration Build the next generation of analytics capabilities and talent through innovation and development of upskilling curricula Serve as a pivotal connector between analytics, operations, and enterprise decision-making Drive method evolution, tool integration, and data standardization across the development portfolio. Play a critical role in transforming how BMS delivers trials and accelerates therapies to patients #LI-Hybrid We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway. Compensation Overview: Princeton - NJ - US: $200,980 - $243,544 
 The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance. Benefits: Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability). U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subj