Project Delivery Manager, Life Sciences

This is a fully remote position, open to applicants in Massachusetts.

📋 Description

• Oversee various Life Sciences solution projects from the final sales agreement through to implementation and handover.

• Develop and uphold project plans, including milestones, dependencies, responsibilities, decisions, risks, issues, and action items.

• Coordinate activities among Life Sciences Sales, analytics, engineering, QA/QC, and Delivery & Operations teams.

• Set up meeting and reporting schedules that align with project complexity and customer obligations.

• Track progress, pinpoint challenges, designate owners, and escalate risks or unresolved decisions.

• Lead discussions on requirements and document business and technical specifications, acceptance criteria, assumptions, and decisions.

• Facilitate discussions with customers and channel partners, effectively communicating requirements, decisions, action items, and next steps.

• Create succinct status reports for internal leaders, customers, and channel partners.

• Maintain project documentation using Jira and Confluence.

• Ensure the timely completion of requirements, analysis, development, testing, documentation, and implementation readiness.

• Organize readiness reviews and validate QA/QC activities, acceptance criteria, dependencies, and outstanding issues.

• Manage the transition of projects to Delivery & Operations with comprehensive documentation of runbooks, known issues, outstanding items, and ownership.

• Conduct retrospectives and translate lessons learned into actionable improvements.

• Assist in coordinating and prioritizing the Life Sciences feasibility queue.

• Keep track of feasibility-request statuses, ownership, dependencies, and anticipated completion dates.

⛳️ Requirements

• Completion of a postsecondary degree, certificate, apprenticeship, or a similar structured educational program.

• A minimum of five years of hands-on experience in managing healthcare data, technology, analytics, implementation, or similarly complex cross-functional projects.

• Proven track record of successfully managing multiple concurrent projects to ensure complete and timely delivery.

• Experience in coordinating both technical and non-technical team members without direct reporting authority.

• Practical experience using Jira and Confluence for planning, documentation, action tracking, and reporting status.

• Experience in leading requirements discussions and maintaining comprehensive project documentation, encompassing responsibilities, dependencies, risks, issues, decisions, and acceptance criteria.

• A general understanding of healthcare data structures, data pipelines, QA/QC, and software development lifecycle practices; coding expertise is not a necessity.

• Exceptional organizational skills, attention to detail, and a disciplined approach to follow-through.

• Ability to foster clarity, alignment, and accountability without formal authority.

• Excellent written and verbal communication skills, along with concise status reporting and appropriate risk escalation.

• Strong facilitation abilities, capable of guiding discussions toward decisions, ownership, and next steps.

• Comfortable navigating ambiguity while sustaining progress.

• A collaborative mindset and sound interpersonal judgment.

• Experience related to healthcare claims, EHR, clinical data, or other real-world data.

• Background with healthcare data vendors, healthcare technology companies, analytics organizations, or life sciences firms.

• Familiarity with patient cohort identification, provider alerting and actioning, dashboards, patient engagement, or outcomes reporting.

• Experience in coordinating data-pipeline, analytics, or software development tasks through testing and implementation readiness.

• Knowledge of Snowflake, AWS, SQL, or contemporary data platform concepts.

• Project management or Agile training or certification is advantageous.

🏝️ Benefits

• A flexible, fully remote work environment that allows for the autonomy to establish effective working methods.

• Direct engagement with Life Sciences leadership, analytics, and engineering teams.

• Opportunities to participate in programs that connect real-world data, provider workflows, and life sciences research and engagement.

• Chance to influence program practices as Arcadia's Life Sciences business expands.

• Opportunity to leverage advanced AI and agentic workflow capabilities.

• Membership in Arcadia's talented and purpose-driven community.