Remote Life Sciences Project Delivery Lead

Arcadia Solutions; Boston (MA); Remote; USD 138,000 - 155,000; Full time

Benefits offered by this job

Fully remote

Flexible work environment

Career growth opportunities

AI-assisted program planning

Job summary

Arcadia Solutions in the United States seeks a results‑driven Project Delivery Manager, Life Sciences, to organize and execute multiple solutioning projects from sales through implementation. You will maintain plans, ownership, risks, and actionable status across analytics, engineering, QA/QC, and operations.

You will work in a fully remote environment, collaborating with cross‑functional teams to ensure timely delivery, clear documentation, and structured runbooks that support scalable program

Qualifications

• Five+ years of practical experience managing healthcare data projects.
• Experience coordinating cross-functional teams without direct authority.
• Proven track record delivering complex data projects on time.

Responsibilities

• Manage Life Sciences solutioning projects from sales to turnover.
• Create clear project plans, milestones, dependencies, risks, and status.
• Coordinate across Life Sciences Sales, analytics, engineering, QA/QC, and Delivery & Operations.
• Ensure on-time delivery and thorough turnover to Delivery & Operations.
• Maintain Jira/Confluence documentation and status reporting.
• Facilitate requirements discussions and acceptance criteria.

Skills

Project management

Cross-functional coordination

Healthcare data

Jira

Confluence

Education

Postsecondary degree

Tools

Jira

Confluence

Job description

Arcadia Solutions in the United States seeks a results‑driven Project Delivery Manager, Life Sciences, to organize and execute multiple solutioning projects from sales through implementation. You will maintain plans, ownership, risks, and actionable status across analytics, engineering, QA/QC, and operations.

You will work in a fully remote environment, collaborating with cross‑functional teams to ensure timely delivery, clear documentation, and structured runbooks that support scalable program