Manager, PV Analytics Center of Excellence
Bristol-Myers Squibb
- Location
- Hyderabad - TS - IN
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 57 approvals (FY2023)
- Posted
- Aug 17, 2026
Skills
About this role
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . Manager, PV Analytics Center of Excellence – JD The Manager, PV Analytics Center of Excellence is responsible for successful execution, and close-out of activities aligned with the overall vision, strategy, and objectives of the Patient Safety Function. The Manager, PV Analytics Center of Excellence contributes to the ongoing development, implementation, and successful execution of the scientific, operational, regulatory and custom reporting efforts in line with the overall WWPS needs. The Manager, PV Analytics Center of Excellence reports to the Associate Director, PV Analytics Center of Excellence, within Patient Safety organization. This person applies a combination of life sciences strategy, leadership, reporting/visualization and AI experience to drive successful servicing of information needs across WWPS. Responsibilities include, but are not limited to the following: Data Analytics and Reporting Build and continuously improve data analytics through supporting models that provide insights into efficiency, quality, stakeholder feedback, and key performance indicators to drive timely and informed decision making Maintain and develop reporting databases and analytics applications in environments such as MS Office Suite, Power BI, Cognos, SAP Business Objects, Spotfire and/or other BMS environments Leverage internal data systems and tools to efficiently maintain data and reporting processes to minimize manual data retrieving Champion the adoption and integration of AI-powered tools and platforms across the team, promoting a culture of innovation and continuous learning in alignment with BMS's enterprise AI strategy Contribute to qualitative and quantitative research projects through collaboration with data trends from cross-functional teams (Pharmacovigilance, Epidemiology, etc.) Utilize data analysis tools to aggregate and analyze data to make actionable recommendations and answer key business questions Run and maintain reports regarding activities, outcomes, and be prepared to deliver presentations to management team on a regular and ad-hoc basis Collect data for monthly reports and quarterly reviews regarding activities, outcomes, and trends of the Advisor team Analyze key stakeholder complaints, address rapidly, and discuss with applicable functional leads to collaborate and propose impactful and realistic solutions Maintain data integrity and traceability across the transformation lifecycle from Source to Target Support program and project team activities required to implement innovation initiatives, with a specific focus on AI-enabled process automation and intelligent analytics Contribute to the management and prioritization of process improvement and innovation initiatives Define and provide metric reporting and data analysis for PS initiatives including relevant insights to facilitate the decision-making process Assess and interpret the process impact of new PV tools and processes Skills/Knowledge Required: Life Sciences, Information, or similar background (Bachelor's, Master's) 5–7 years Drug