Senior Manager - Principal Solution Engineer

Senior Manager II, Principal Solution Engineer Working with Us Challenging. Meaningful. Life-changing. Those arent 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. Youll 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 . Position: Senior Manager II, Principal Solution Engineer Location: Hyderabad, India Accountable for leading and delivering high quality solutions for capabilities such as Trial Design and Optimization, Trial Operations and Trial Acceleration, Trial Success prediction and Document Automation. Lead the end-to-end business analysis process partnering with R&D stakeholders to understand scientific, clinical, and operational needs current state assessment, gap analysis, future state solution design, and requirement elicitation; and translate them into highvalue digital and analytical capabilities. Define system design requirements, data requirements, system interactions, and business process flows to support Trial Design, Optimization, Operations, and Success Prediction capabilities. Develop and maintain technology roadmaps in partnership with TOCM R&D B&IT Product Manager for better designing and optimizing clinical trials. Provide techno-functional leadership for solution discovery, prototyping, and feasibility assessments across AI/ML, analytics, and workflow automation. Lead design, development, deployment, and maintenance of scalable software applications and machine learning solutions. Build software engineering applications and data science models, ensuring that ML models, LLMs are efficiently integrated into production systems and maintained at scale. Work closely with Product Managers, Solution Architects, Platform Engineers, Data Engineers, and UX designers to develop scalable design options. Ensure alignment to R&D BI&T architectural standards, patterns, integration guidelines, and enterprise data governance. Partner with R&D B&IT Enterprise Architect to assess needs and select the best technology solutions in alignment with Enterprise B&IT architecture principles, standards, patterns and guidelines Support development, testing, validation, and release management activities; ensure that solutions meet quality, security, and compliance standards ensuring best practices are being followed. Collaborate with engineering teams to ensure proper integration of ML models, LLMs, and data pipelines into production systems. Drive continuous improvement in requirements of quality, solution documentation, and delivery processes. Monitor solution performance, user adoption, production issues, and enhancements, collaborating with engineering and operations teams for issue resolution. Oversee application performance, reliability, and security. Comfortable working in a fast-paced environment with minimal oversight. Mentors other team members effectively to unlock full potential Prior experience working in an Agile/Product based environment Recruit, onboard and manage team members, position them for success, and hold them accountable to deliver against the expected business outcomes Strong technical expertise, leadership skills, and a passion for delivering high-quality, reliable solutions. Strong data analytical skills, SQL, NOSQL databases. Implement CI/CD practices for software applications. Communicate project status, risks, and opportunities to senior leadership. undefined Qualifications & Experience 13+ years of experience in solution analysis, business analysis, or techno-functional roles within data/analytics or digital product teams. 6-8 years of demonstrable experience in Lifesciences & Healthcare industry with proven expertise in data acquisition, clinical trial execution, and analysis reporting on a global scale. 5+ years of experience in building and managing teams. Bachelor's degree in computer science, Information Technology, Life Sciences, or related fields. Advanced degree preferred. Hands-on exposure to AI/ML enabled solutions, data engineering pipelines, cloud platforms (AWS/Azure), and modern software architectures. Strong knowledge of SDLC, Agile, DevOps, and product-based delivery methodologies. Understanding data modeling, SQL/NoSQL databases, APIs, cloud services (AWS/GCP/Azure), containerization (Docker, Kubernetes). Strong programming skills in