Project Delivery Manager, Life Sciences

Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs. We’re a team of fiercely driven individuals committed to making healthcare more sustainable – and we’re looking for passionate people to help us get there. For more information, visit arcadia.io Why This Role Is Important to Arcadia Arcadia's Life Sciences business delivers de-identified clinical and claims data products and develops sponsored programs that support patient cohort identification, provider alerting and actioning, patient engagement, and outcomes reporting. These efforts require coordinated execution across Sales, analytics, engineering, QA/QC, and Delivery & Operations. The Project Delivery Manager, Life Sciences will organize that execution. This person will manage multiple solutioning projects from finalized sales agreement through implementation and turnover, maintaining clear plans, ownership, status, risks, issues, and decisions. The role will also provide supporting coordination for the Life Sciences feasibility queue. This is an individual-contributor role for someone who brings practical judgment, disciplined follow-through, and the interpersonal skill to create accountability without direct authority. The successful candidate will keep complex work moving without adding unnecessary process. What Success Looks Like In 3 Months • Develop a working understanding of Arcadia's Life Sciences data products, sponsored programs, active projects, and the teams responsible for analysis, development, testing, and operations. • Establish effective working relationships across Life Sciences Sales, analytics, engineering, QA/QC, and Delivery & Operations. • Begin managing assigned solutioning projects through clear project plans, milestones, dependencies, responsibilities, risks, issues, decisions, and status reporting. • Introduce consistent, practical project-management templates and working practices in Jira and Confluence without creating unnecessary administrative burden. • Demonstrate early identification and escalation of risks that could affect project completeness or timing. • Become familiar with the feasibility process and begin supporting queue coordination and status visibility. In 6 Months • Independently manage multiple simultaneous Life Sciences solutioning projects from finalized sales agreement through implementation and turnover. • Facilitate requirements discussions and ensure requirements, acceptance criteria, dependencies, decisions, and responsibilities are clearly documented. • Maintain a reliable project cadence that keeps leaders and contributors informed of progress, upcoming decisions, risks, issues, and required actions. • Coordinate customer and channel-partner discussions related to solutioning projects and ensure resulting requirements, decisions, and actions are captured and advanced. • Ensure project workstreams, including analysis, technical development, testing, documentation, and implementation readiness, progress toward complete and timely delivery. • Coordinate structured project turnover to Delivery & Operations, including required runbooks, known issues, outstanding items, and clearly assigned ownership. • Provide supporting coordination for feasibility requests, helping maintain clear priorities, ownership, and status. In 12 Months • Establish a consistent record of complete, on-time delivery across assigned Life Sciences projects. • Be recognized as a reliable source of project status, ownership, dependencies, risks, issues, and upcoming decisions. • Reduce late-stage surprises through early identification, communication, and escalation of project risks, resource constraints, and unresolved decisions. • Establish a practical, repeatable project-execution framework across Life Sciences data products and sponsored programs. • Improve project transition and turnover by ensuring sufficient documentation, runbooks, ownership, and implementation readiness. • Identify recurring execution obstacles and recommend improvements that strengthen accountability, collaboration, and delivery predictability.