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Senior Manager, Business Analyst, GDO - Site Engagement

Job in Princeton, Mercer County, New Jersey, 08543, USA
Listing for: Dormont Manufacturing Co
Full Time position
Listed on 2026-07-03
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

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 the 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 research, evaluation, and implementation of innovative AI and digital solutions.
  • 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.
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…
Position Requirements
10+ Years work experience
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