Senior Manager, Business Analyst, GDO - Site Engagement

About the role

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.

Responsibilities

• 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.
• 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.
  • Analyze data, identify trends, gaps, and actionable insights using SQL and analytics tools.
• 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.
• 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
• 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.

Requirements

• 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/onshore/offshore model is a plus.

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/onshore/offshore model is a plus.