Project Planning and Execution

•  Manage multiple Life Sciences solutioning projects from finalized sales agreement through implementation and turnover, with complete and on-time project delivery.

•  Create and maintain clear project planning activities, milestones, dependencies, responsibilities, decisions, risks, issues, and action items.

•  Organize and coordinate project activities across the Life Sciences team and supporting functions, maintaining clear ownership, prioritization, alignment, and progress across contributors.

•  Establish a dependable meeting and reporting cadence appropriate to each project's complexity and customer commitments.

•  Monitor progress, identify obstacles early, secure accountable owners, and escalate risks or unresolved decisions when necessary.

Requirements and Stakeholder Coordination

•  Facilitate requirements discussions and document agreed business and technical documentation, acceptance criteria, assumptions, and decisions.

•  Build alignment across participating teams on priorities, responsibilities, dependencies, timelines, and execution approach.

•  Facilitate customer and channel-partner discussions related to in-flight solutioning projects, ensuring requirements, decisions, action items, and next steps are clearly documented and communicated.

•  Prepare concise status reporting for internal leaders and, when appropriate, customers and channel partners.

•  Maintain project documentation in Jira and Confluence so current plans, decisions, and ownership are accessible to the people doing the work.

Implementation Readiness and Operations Turnover

•  Ensure all project workstreams, including requirements, analysis, technical development, testing, documentation, and implementation readiness, are appropriately planned, prioritized, and completed on time.

•  Coordinate readiness reviews and confirm that agreed QA/QC activities, acceptance criteria, dependencies, and outstanding issues are understood before implementation.

•  Coordinate the transition of completed projects to Delivery & Operations, ensuring required runbooks, known issues, outstanding items, and ownership are clearly documented.

•  Facilitate project retrospectives and turn recurring lessons into practical improvements for future projects.

Feasibility Support

•  Support coordination of the Life Sciences feasibility queue, facilitating prioritization of new Sales demand against existing activities and commitments across the Life Sciences team.

•  Maintain visibility into feasibility-request status, ownership, dependencies, and expected completion.

Tools and Working Environment

•  Project workflow and documentation: Jira and Confluence

•  Project management best practices: project plans, RACI models, milestone and dependency tracking, risk and issue management, decision records, action tracking, and status reporting

•  Data environment familiarity: healthcare data schemas, claims and clinical data, data pipelines, QA/QC practices, and software development lifecycle concepts

•  Collaboration: remote, cross-functional teams supporting data products, analytics, software development, and customer delivery

Education

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

Experience

•  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. Coding experience is not required.

Skills

•  Practical judgment and a straightforward working style focused on completing the work rather than adding process for its own sake.

•  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 relying on formal authority.

•  Clear written and verbal communication, including concise status reporting and appropriate escalation of risks and issues.

•  Strong facilitation skills and the confidence to guide discussions toward decisions, owners, and next steps.

•  Comfort working through ambiguity while maintaining momentum and identifying where leadership decisions are required.

•  A collaborative approach and sound interpersonal judgment when working with internal teams, customers, and channel partners.

•  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.

•  A central role in helping Arcadia's Life Sciences team deliver complex data and technology projects with greater clarity and predictability.

•  Direct exposure to Life Sciences leadership team, analytics and engineering teams.

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

•  A flexible, fully remote work environment with the autonomy to establish practical ways of working.

•  The opportunity to help shape program practices as Arcadia's Life Sciences business grows

•  The 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