Senior Manager, Business Analyst, GDO - Site Engagement

Requirements

• Minimum Requirements
• Minimum education of a bachelor's degree in computer science, Computer Engineering, Life

Benefits

Additional Information

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 . The Senior Manager, Business Analyst role contributes to the delivery of technology products and services within the Patient & Site Engagement domain, with a focus on enabling patient‑first, site‑centric capabilities that improve clinical trial feasibility, forecasting, and enrollment outcomes. The role is embedded in the Patient & Site Engagement product line within Global Development Operations BI&T, contributing to both product delivery and broader operational activities across the portfolio. This is a hands‑on role where the successful candidate partners closely with Product team and collaborates with business leaders, software engineers, project managers, IT teams, and external vendors to deliver and scale AI‑enabled digital solutions. The individual will play a key role in identifying high‑value business challenges and translating them into innovative, data‑ and AI‑driven solutions that enhance site experience, patient engagement, and clinical trial performance. Major Responsibilities and Accountabilities: Product Delivery & Business Analysis Serve as the Product Manager & Analyst on assigned initiatives within the Patient & Site Engagement product line. Work closely with Product team and stakeholders to solve business problems using AI‑first, data‑driven approaches. Drive backlog prioritization and grooming in partnership with Product Owner, ensuring work is aligned to highest business value and outcomes. Translate business needs into well-defined, prioritized user stories and features, leveraging AI to accelerate refinement and clarity. Facilitate continuous backlog refinement sessions, incorporating user feedback, data insights, and evolving product strategy. AI, Data & Digital Transformation Identify high‑value business challenges and translate them into AI‑enabled solutions that improve: Patient engagement and enrollment Site experience and activation Research, evaluate, and implement innovative AI and digital solutions, leveraging both internal platforms and external partnerships. Prototype solutions using tools such as Python, GenAI tools, and Figma, delivering rapid, test‑and‑learn capabilities. Use SQL and analytics tools to analyze data, identify trends, gaps, and actionable insights. Cross‑Functional Collaboration & Delivery Partner with cross functional stakeholders across Regional Clinical Operations and Patient Experience, Global Patient Recruitment to orchestrate seamless delivery from concept through launch. Foster collaboration between internal teams and external innovators (e.g., healthcare providers, technology partners) to co‑develop and pilot new capabilities. Build strong relationships with business stakeholders to ensure adoption and sustained value realization. Execution, Adoption & Value Realization Coordinate and execute UAT, validation, and release activities, ensuring solutions meet business and compliance requirements. Develop compelling business cases that translate AI and digital strategies into clear business value and outcomes. Track solution performance using defined KPIs/OKRs, including: Adoption rates Cycle time reduction Quality and compliance outcomes Business and patient impact Innovation, Insights & Continuous Improvement Inspire a culture of innovation, agility, and continuous learning within the product team. Capture user feedback and incorporate insights into ongoing product improvements. Advance capabilities from descriptive analytics to predictive and AI‑driven insights. Enable omnichannel personalization and next‑best‑action capabilities to improve patient and stakeholder experiences. Data, AI Governance & Responsible AI Ensure adherence to data privacy, security, and responsible AI guardrails. Maintain awareness of risk, compliance, and continuity requirements for business-critical systems. Support alignment with enterprise data platforms and AI ecosystems, enabling scalable and interoperable solutions.

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