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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Обязанности чётко очерчены: от планирования проектов до внедрения и передачи в эксплуатацию, с опытом работы над продуктами на медицинских данных; главный пробел - отсутствие информации о компенсации.
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Понятная зона ответственностиМедицинские данныеАвтономность в работе
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Project Delivery Manager (Life Sciences) (healthcare data and technology): Managing concurrent Life Sciences solutioning projects from finalized sales agreements through implementation and turnover with an accent on requirements coordination, delivery planning, and cross-functional execution. Focus on coordinating analytics, engineering, QA/QC, documentation, feasibility requests, and operational readiness while identifying risks and maintaining accountability without direct authority.
Location: Remote or Boston, MA
Company
hirify.global develops healthcare data products and population health management software that aggregate complex clinical and claims data to support better care, lower costs, and actionable provider workflows.
What you will do
Manage multiple Life Sciences solutioning projects from finalized sales agreement through implementation and turnover.
Create and maintain project plans, milestones, dependencies, responsibilities, risks, issues, decisions, action items, and status reporting.
Coordinate requirements discussions and align Sales, analytics, engineering, QA/QC, Delivery & Operations, customers, and channel partners.
Ensure requirements, acceptance criteria, testing, documentation, implementation readiness, runbooks, known issues, and ownership are completed and documented.
Support prioritization and status visibility for the Life Sciences feasibility queue.
Facilitate retrospectives and turn recurring execution obstacles into practical improvements.
Requirements
Completion of a postsecondary degree, certificate, apprenticeship, or comparable structured educational program.
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 using Jira and Confluence for planning, documentation, action tracking, and status reporting.
Experience facilitating requirements discussions and maintaining documentation covering 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.
Strong organization, attention to detail, written and verbal communication, facilitation, risk escalation, prioritization, and follow-through skills.
Ability to create clarity, alignment, and accountability across teams without formal authority and work through ambiguity while maintaining momentum.
Nice to have
Experience managing projects involving healthcare claims, EHR, clinical, or other real-world data.
Experience with a healthcare data vendor, healthcare technology company, analytics organization, or life sciences company.
Familiarity with 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.
Culture & Benefits
Flexible, fully remote work environment with autonomy to establish practical ways of working.
Central role supporting complex Life Sciences data and technology projects with greater clarity and predictability.
Direct exposure to Life Sciences leadership, analytics, and engineering teams.
Opportunities to work with real-world data, provider workflows, life sciences research, and patient engagement programs.
Opportunity to shape program practices as the Life Sciences business grows and use advanced AI and agentic workflow capabilities for planning, coordination, documentation, and execution.
Membership in a purpose-driven professional community.
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