Project Delivery Manager, Life Sciences

Arcadia•Boston, MA
•$138,000 - $155,000•Remote

About The Position

The Project Delivery Manager, Life Sciences organizes execution across Arcadia’s Life Sciences Sales, analytics, engineering, QA/QC, and Delivery & Operations teams. The role manages multiple solutioning projects from finalized sales agreement through implementation and turnover, maintaining clear plans, ownership, status, risks, issues, and decisions. It also supports coordination of the Life Sciences feasibility queue. This is an individual-contributor position requiring practical judgment, disciplined follow-through, and the ability to create accountability without direct authority. The manager facilitates requirements discussions, coordinates internal and external stakeholders, tracks workstreams through testing and implementation readiness, and coordinates structured handoffs to Delivery & Operations. The position uses Jira and Confluence to maintain accessible project plans and documentation, and helps improve practical, repeatable project execution across Life Sciences data products and sponsored programs. The role is fully remote and offers autonomy to establish practical ways of working.

Requirements

  • Completion of a postsecondary degree, certificate, apprenticeship, or comparable structured educational program.
  • At least five 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 using Jira and Confluence for planning, documentation, action tracking, and status reporting.
  • Experience facilitating requirements discussions and maintaining 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; coding experience is not required.
  • 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 ability to guide discussions toward decisions, owners, and next steps.
  • Comfort working through ambiguity while maintaining momentum and identifying when 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; practical experience and judgment are more important than a specific 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 and contributors across Life Sciences and supporting functions, maintaining ownership, prioritization, alignment, and progress.
  • Establish meeting and reporting cadences appropriate to project complexity and customer commitments.
  • Monitor progress, identify obstacles, 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 among participating teams on priorities, responsibilities, dependencies, timelines, and execution approach.
  • Facilitate customer and channel-partner discussions for active solutioning projects and document requirements, decisions, actions, and next steps.
  • Prepare concise status reports for internal leaders and, where appropriate, customers and channel partners.
  • Maintain project documentation in Jira and Confluence so plans, decisions, and ownership are accessible.
  • 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 translate recurring lessons into practical improvements.
  • Support coordination and prioritization of the Life Sciences feasibility queue, maintaining visibility into request status, ownership, dependencies, and expected completion.
  • Follow Security policies and procedures to protect PHI and Arcadia intellectual property.

Benefits

  • Flexible, fully remote work environment with autonomy to establish practical ways of working.
  • Direct exposure to the Life Sciences leadership team and 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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