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Everest Global Solutions - Philadelphia, PA
posted about 1 month ago
Full-time
Philadelphia, PA
About the position
The Project Manager will oversee the development and implementation of data warehouse projects within the healthcare domain. This role requires a deep understanding of data management processes, technical knowledge, and the ability to lead cross-functional teams effectively.
Responsibilities
- Lead and manage data warehouse development projects, ensuring alignment with business objectives and compliance with healthcare regulations.
- Collaborate with stakeholders to define project scope, goals, and deliverables that support business needs.
- Develop and maintain project plans, timelines, and budgets, ensuring projects are delivered on time and within scope.
- Coordinate resources and manage project teams, facilitating communication and collaboration across departments.
- Monitor project progress, identify risks, and implement mitigation strategies as necessary.
- Ensure quality assurance throughout the project lifecycle and prepare comprehensive project documentation.
- Stay updated on industry trends and advancements in data warehousing and healthcare technologies.
Requirements
- Experience in data warehouse development, specifically within the healthcare sector.
- Proven experience in data warehouse development processes and methodologies.
- Expertise in designing and implementing data models, including star and snowflake schemas, to support analytical requirements.
- Proficient in designing and developing ETL workflows to automate data extraction, transformation, and loading processes.
- Experience with reporting tools (e.g., Tableau, Power BI) to create insightful dashboards and reports from the data warehouse.
- Proficiency in using version control systems (e.g., Git) for managing code and ETL scripts in a collaborative environment.
- Excellent communication and leadership skills.
Nice-to-haves
- Experience with cloud data warehouse solutions (e.g., AWS Redshift, Google BigQuery, Snowflake) is a plus.
- Knowledge of healthcare data standards (e.g., HL7, FHIR) and data interoperability is desirable.
