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Senior Manager, Business Analyst, GDO - Site Engagement

Job in Princeton, Mercer County, New Jersey, 08543, USA
Listing for: Bristol Myers Squibb EU Policy
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, IT Business Analyst, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 135320 - 163976 USD Yearly USD 135320.00 163976.00 YEAR
Job Description & How to Apply Below

Senior Manager, Business Analyst – GDO Site Engagement

R1603121 :
Senior Manager, Business Analyst, GDO - Site Engagement

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…
Position Requirements
10+ Years work experience
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