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Senior Manager, Business Analyst, GDO - Site Engagement
- Princeton, Florida, United States
- Princeton, Florida, United States
Über
Role Overview The Senior Manager, Business Analyst role contributes to the delivery of technology products and services within the Patient & Site Engagement domain, focusing 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.
Responsibilities 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 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.
Qualifications
Minimum education of a bachelor’s degree in computer science, computer engineering, life sciences, or related field is required.
Minimum of five (5) years of experience as a technical Business Analyst or Product Analyst in healthcare, pharmaceuticals, or clinical research is required.
Strong experience in requirements documentation and process modeling as well as agile methodologies, product development, and data analysis and visualization.
Hands‑on experience with tools such as JIRA, Confluence, Figma, SQL, Python, and GenAI tools.
Strong communication skills with ability to engage both technical and non‑technical stakeholders.
Experience with AI/ML, LLMs, or automation tools is highly desirable.
Experience working in a global/on‑shore/off‑shore model is a plus.
Compensation Overview Princeton – NJ – US: $135,320 - $163,976 (full‑time). Additional incentive cash and stock opportunities may be available. Final individual compensation will be decided based on demonstrated experience.
Benefits
Health Coverage: Medical, pharmacy, dental, and vision care.
Well‑being Support: Programs such as BMS Well‑Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well‑being and Protection: 401(k) plan, short‑ and long‑term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Paid Time Off
US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees).
Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non‑Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays.
Additional Time Off and Global Shutdown Additional time off may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs, and an annual Global Shutdown between Christmas and New Years Day.
Equal Employment Opportunity BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. Visit careers.bms.com/eeo-accessibility for our complete Equal Employment Opportunity statement.
Candidate Rights BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
Data Protection We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at careers.bms.com/fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
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Sprachkenntnisse
- English
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