- Esperienza
- Qualsiasi
- Stipendio
- USD 400,000 – USD 550,000 / year
- Aperture
- 1
- Pubblicato
- 3 ore fa
- Modalità di lavoro
- Lavoro da casa
- Riprendere
- È necessario candidarsi
Descrizione del lavoro
Position Overview
This full-time role as a Healthcare Data Project Manager offers a remote working arrangement with a competitive annual salary ranging from $400,000 to $550,000. The successful candidate will be accountable for end-to-end project management, ensuring exceptional service for leading AI Lab clients.
Key Responsibilities
- Lead projects comprehensively, ensuring client satisfaction with deliverables of high complexity.
- Supervise intricate healthcare and medical data pipelines aimed at enhancing efficiency, precision, and scalability.
- Manage teams comprising Human Data Managers and Leads, and oversee the contributions of healthcare and medical specialists.
- Engage in direct communication with AI Lab clients concerning significant and impactful projects and their statuses.
- Partner with Human Data Engineers to establish and monitor key performance indicators within expert-driven workflows.
- Deliver high-level reports and insights about project progress, data performance, and operational effects to senior leadership.
Candidate Requirements
- An MD qualification is advantageous but not required.
- Professionals with backgrounds in data operations, data engineering, computer science, or those extensively acquainted with healthcare and medicine will be considered.
- Minimum experience in a leadership capacity managing substantial data projects, ideally related to healthcare.
- A strong enthusiasm for building and deploying solutions quickly in challenging, high-pressure settings.
- Excellent skills in managing relationships with stakeholders, especially senior experts in healthcare and medicine.
Competenze
Risoluzione dei problemi
Gestione del progetto
Comunicazione con le parti interessate
Leadership di squadra
Reportistica operativa
Healthcare Industry Knowledge
Performance Metrics Analysis
Data Engineering Collaboration
Healthcare Data Management
data pipeline oversight
high-pressure environment adaptability