Senior Manager, Research Intelligence Engineer

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.

Overview Bristol Myers Squibb seeks a hands-on, technically accomplished Senior Manager to advance Research Intelligence & data capabilities within Molecular Invention Data | R&D Data & Analytical Platforms BI&T. The Senior Manager, Research Intelligence Engineer combines Research domain analysis, business and process analysis, data engineering, and applied AI to design and deliver intelligence & research data products that improve discovery portfolio management, operational execution, scientific insights, analysis, and decision-making. Working within the Molecular Invention Data team, the broader R&D Data and Analytical Platforms, partnering with Research Business Intelligence & Technology and Research scientists, the role translates complex Research questions and workflows into scalable data, tooling, and agentic solutions. The successful candidate will possess engineering prowess and substantial analytical accountability. They will work directly with Research stakeholders to understand domain context, map decisions and processes, shape product requirements, engineer AI-enabled workflows, and ensure that solutions are grounded in reliable data and fit-for-purpose technology. Lead the technical design and delivery of reusable Research Intelligence capabilities across the Research domain, including ResearchCentral and the broader MI Data ecosystem, spanning contextual intelligence, process automation, knowledge-driven experiences, and AI-enabled decision support. The Senior Manager will provide value-focused leadership, guide engineers and analysts, and champion the adoption and consistent application of standards for responsible, observable, and reusable AI solutions, while remaining accountable for hands-on analysis, engineering, and delivery. Role & Responsibilities: Research Domain Analysis & Intelligence: ·         Partner with scientists, portfolio teams, product owners, and operations leaders to frame ambiguous business and scientific questions as actionable intelligence opportunities. ·         Develop sufficient understanding of Research domains, portfolio processes, decision points, data semantics, and user needs to guide solution design. ·         Lead discovery, requirements analysis, process decomposition, and Process Context Mapping for AI-enabled and data-driven workflows. ·         Take the lead in analyzing significantly complex, unscoped Research data, workflow, and operational problems; identify business opportunities and areas of operational whitespace where data, automation, or agentic capabilities can create measurable value rather than waiting for opportunities to be predefined. ·         Translate domain needs into prioritized use cases, product requirements, data requirements, acceptance criteria, and measurable outcomes. AI & Agentic Engineering: ·         Design, prototype, engineer, and productionize agentic and generative AI capabilities that support Research portfolio management, operational excellence, and scientific decision-making. ·         Build AI-enabled workflows that combine enterprise data, domain context, retrieval, tools, APIs, models, and human decision points. ·         Implement evaluation, testing, observability, guardrails, and feedback mechanisms for reliable and responsible AI behavior. ·         Create reusable patterns, components, and