Project Delivery Manager, Life Sciences

Arcadia•Remote or Boston, MA
•Remote

About The Position

Arcadia’s Life Sciences business delivers de-identified clinical and claims data products and develops sponsored programs supporting patient cohort identification, provider alerting and actioning, patient engagement, and outcomes reporting. The Project Delivery Manager organizes coordinated execution across Sales, analytics, engineering, QA/QC, and Delivery & Operations. This individual-contributor role manages multiple solutioning projects from finalized sales agreement through implementation and turnover, maintaining clear plans, ownership, status, risks, issues, and decisions. The role also supports coordination of the Life Sciences feasibility queue. The successful candidate uses practical judgment, disciplined follow-through, and interpersonal skills to create accountability without direct authority and keep complex work moving without unnecessary process. The manager facilitates requirements discussions, aligns contributors on priorities and responsibilities, coordinates customer and channel-partner discussions, and ensures workstreams progress toward complete and timely delivery. They coordinate readiness reviews and structured turnover to Delivery & Operations, including runbooks, known issues, outstanding items, and ownership. They also maintain project documentation and reporting in Jira and Confluence and help establish repeatable project-execution practices.

Requirements

  • Completion of a postsecondary degree, certificate, apprenticeship, or comparable structured educational program.
  • Five or more years of practical experience managing healthcare data, technology, analytics, implementation, or similarly complex cross-functional projects.
  • Demonstrated success managing multiple concurrent projects through complete and timely delivery.
  • Experience coordinating technical and nontechnical contributors without direct reporting authority.
  • Hands-on experience with Jira and Confluence for planning, documentation, action tracking, and status reporting.
  • Experience facilitating requirements discussions and maintaining clear project documentation, including responsibilities, dependencies, risks, issues, decisions, and acceptance criteria.
  • General understanding of healthcare data structures, data pipelines, QA/QC, and software development lifecycle practices.
  • Practical judgment and a straightforward working style focused on completing work without unnecessary process.
  • Strong organizational skills, attention to detail, and disciplined follow-through across multiple projects and competing priorities.
  • Ability to create clarity, alignment, and accountability across teams without formal authority.
  • Clear written and verbal communication, including concise status reporting and appropriate escalation of risks and issues.
  • Strong facilitation skills and confidence guiding discussions toward decisions, owners, and next steps.
  • Comfort working through ambiguity while maintaining momentum and identifying where leadership decisions are required.
  • Collaborative approach and sound interpersonal judgment when working with internal teams, customers, and channel partners.

Nice To Haves

  • Experience managing projects involving healthcare claims, EHR, clinical, or other real-world data.
  • Experience working for a healthcare data vendor, healthcare technology company, analytics organization, or life sciences company.
  • Familiarity with projects involving patient cohort identification, provider alerting and actioning, dashboards, patient engagement, or outcomes reporting.
  • Experience coordinating data-pipeline, analytics, or software-development work through testing and implementation readiness.
  • Familiarity with Snowflake, AWS, SQL, or modern data-platform concepts sufficient to follow technical discussions; hands-on coding is not required.
  • Project-management or Agile training or certification.

Responsibilities

  • Manage multiple Life Sciences solutioning projects from finalized sales agreement through implementation and turnover, supporting complete and on-time delivery.
  • Create and maintain project plans, milestones, dependencies, responsibilities, decisions, risks, issues, and action items.
  • Coordinate project activities across Life Sciences and supporting functions, maintaining clear ownership, prioritization, alignment, and progress.
  • Establish meeting and reporting cadences suited to project complexity and customer commitments.
  • Monitor progress, identify obstacles early, secure accountable owners, and escalate risks or unresolved decisions.
  • Facilitate requirements discussions and document business and technical requirements, acceptance criteria, assumptions, and decisions.
  • Build alignment across teams regarding priorities, responsibilities, dependencies, timelines, and execution approach.
  • Facilitate customer and channel-partner discussions, documenting and communicating requirements, decisions, action items, and next steps.
  • Prepare concise status reporting for internal leaders and, when appropriate, customers and channel partners.
  • Maintain accessible, current project plans, decisions, and ownership documentation in Jira and Confluence.
  • Plan and coordinate requirements, analysis, technical development, testing, documentation, and implementation-readiness workstreams.
  • Coordinate readiness reviews and confirm QA/QC activities, acceptance criteria, dependencies, and outstanding issues are understood before implementation.
  • Coordinate project transitions to Delivery & Operations, documenting runbooks, known issues, outstanding items, and ownership.
  • Facilitate project retrospectives and convert recurring lessons into practical improvements.
  • Support coordination and prioritization of the Life Sciences feasibility queue, balancing new Sales demand with existing activities and commitments.
  • Maintain visibility into feasibility-request status, ownership, dependencies, and expected completion.
  • Identify recurring execution obstacles and recommend improvements to accountability, collaboration, and delivery predictability.

Benefits

  • Flexible, fully remote work environment with autonomy to establish practical ways of working.
  • Direct exposure to the Life Sciences leadership team, analytics, and engineering teams.
  • Opportunities to work on programs connecting real-world data, provider workflows, and life sciences research and engagement.
  • Opportunity to help shape program practices as Arcadia’s Life Sciences business grows.
  • Opportunity to use advanced AI and agentic workflow capabilities to improve program planning, coordination, documentation, and execution.
  • Membership in Arcadia’s talented, purpose-driven community.
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