Manager, PDS BI&T Analytics Operations

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. Manager, PDS BI&T Analytics Operations Summary: This role will play a crucial role in managing a team that supports operational analytics across PDS to ensure products continue to serve most pressing PDS analytics needs, with potential opportunities to build new advanced analytics capabilities to build in state of art solutions. Manager for this cutting-edge Analytics team should have a strong interest in solving business problems, and an eagerness to work on all parts of the analytics value chain, from partnering with IT on data pipelines to scaling and deploying analytics solution (having a thorough knowledge in Business Intelligence Space) in the service of our patients around the world.  Roles & Responsibilities: •       Operate with a high degree of independence and accountability—setting priorities, making critical decisions, and delivering outcomes with minimal supervision. •       Provide strategic and technical analytical solutions for the identification, development, and deployment of Data & Analytics solutions across PDS BI&T, ensuring alignment with organizational objectives and enterprise initiatives as well as harmony with BMS enterprise platforms and governance (e.g., model/platform reuse, safety & privacy reviews, data access controls, usage/cost monitoring). •       Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of PDS priorities, critical issues, and value levers. •       Collaborate with stakeholders to identify business problems, goals, and KPIs to design, establish and maintain data pipelines, models and business facing reports and dashboards. •       Identify and implement enhancement and automation of high-value analytics while ensuring they continue to function efficiently. •       Collaborate proactively with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools for efficient data collection, processing, and analysis. •       Prepare reports, dashboards, and presentations to communicate analyses to stakeholders at various levels of the organization. •       Follow technical best practices in building, maintaining, and enhancing analytics output with scalable solutions, including code version control, pipeline management, deployment, and documentation.