Project Delivery Manager
Arcadia
Project Delivery Manager
Arcadia
Provides data platform for energy decarbonization
Salary Range: 138000 to 155000 (Currency: USD) (Pay period: per-year-salary)
Arcadia is dedicated to happier, healthier days for all.We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable – and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io
Why This Role Is Important to Arcadia
Arcadia's Life Sciences business delivers de-identified clinical and claims data products and develops sponsored programs that support patient cohort identification, provider alerting and actioning, patient engagement, and outcomes reporting. These efforts require coordinated execution across Sales, analytics, engineering, QA/QC, and Delivery & Operations.
The Project Delivery Manager, Life Sciences will organize that execution. This person will manage multiple solutioning projects from finalized sales agreement through implementation and turnover, maintaining clear plans, ownership, status, risks, issues, and decisions. The role will also provide supporting coordination for the Life Sciences feasibility queue.
This is an individual-contributor role for someone who brings practical judgment, disciplined follow-through, and the interpersonal skill to create accountability without direct authority. The successful candidate will keep complex work moving without adding unnecessary process.
What Success Looks Like
In 3 Months
• Develop a working understanding of Arcadia's Life Sciences data products, sponsored programs, active projects, and the teams responsible for analysis, development, testing, and operations.
• Establish effective working relationships across Life Sciences Sales, analytics, engineering, QA/QC, and Delivery & Operations.
• Begin managing assigned solutioning projects through clear project plans, milestones, dependencies, responsibilities, risks, issues, decisions, and status reporting.
• Introduce consistent, practical project-management templates and working practices in Jira and Confluence without creating unnecessary administrative burden.
• Demonstrate early identification and escalation of risks that could affect project completeness or timing.
• Become familiar with the feasibility process and begin supporting queue coordination and status visibility.
In 6 Months
• Independently manage multiple simultaneous Life Sciences solutioning projects from finalized sales agreement through implementation and turnover.
• Facilitate requirements discussions and ensure requirements, acceptance criteria, dependencies, decisions, and responsibilities are clearly documented.
• Maintain a reliable project cadence that keeps leaders and contributors informed of progress, upcoming decisions, risks, issues, and required actions.
• Coordinate customer and channel-partner discussions related to solutioning projects and ensure resulting requirements, decisions, and actions are captured and advanced.
• Ensure project workstreams, including analysis, technical development, testing, documentation, and implementation readiness, progress toward complete and timely delivery.
• Coordinate structured project turnover to Delivery & Operations, including required runbooks, known issues, outstanding items, and clearly assigned ownership.
• Provide supporting coordination for feasibility requests, helping maintain clear priorities, ownership, and status.
In 12 Months
• Establish a consistent record of complete, on-time delivery across assigned Life Sciences projects.
• Be recognized as a reliable source of project status, ownership, dependencies, risks, issues, and upcoming decisions.
• Reduce late-stage surprises through early identification, communication, and escalation of project risks, resource constraints, and unresolved decisions.
• Establish a practical, repeatable project-execution framework across Life Sciences data products and sponsored programs.
• Improve project transition and turnover by ensuring sufficient documentation, runbooks, ownership, and implementation readiness.
• Identify recurring execution obstacles and recommend improvements that strengthen accountability, collaboration, and delivery predictability.
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
Arcadia provides a data-and-tools platform called the Arc platform, which gives access to global utility data, analytics, and optimization features to help businesses and developers create energy products and climate solutions. It began with community solar to democratize solar energy and now supports electrification, decarbonization, and energy efficiency for a wide range of clients. The Arc platform is offered on a subscription basis, giving customers access to data, analytics, and optimization tools to identify energy savings, optimize consumption, and understand energy costs. It differentiates itself by offering an integrated, multi-utility platform that powers a broad set of energy products rather than just hardware or one-off services, with the goal of reducing carbon footprints and advancing a zero-carbon future.
Explore more opportunities at Arcadia