Full-time, 40 Hours/week Days Hybrid - Akron, OH
Summary:
Leads a team of data engineers responsible for the planning, development, scalability, implementation and ongoing support for the data pipelines and infrastructure on cloud platforms. Responsible for developing and executing the data engineering strategy, driving data architecture initiatives, and overseeing the design and implementation of scalable data products on cloud platforms ensuring high availability and performance. Collaboration with cross-functional teams will be essential to ensure data quality, integrity, and availability while promoting best practices for data management and data government. This leadership position demands a strong technical background in data engineering, technical people management skills, and the ability to collaborate within the Enterprise Data and Analytics unit as well as the hospital.
Responsibilities:
- Works with hospital management and data consumers to understand requirements, establish the strategic direction and to set priorities for the implementation and use of analytics solutions.
- Promotes advanced analytics within the user community to leverage BI solutions and to help continue to evolve self-service analytics capabilities within the hospital.
- Leads the Data Engineering team in designing, developing, and maintaining robust data infrastructure, including data warehouses, data lakes, and ETL pipelines.
- Implement best practices for data governance, data security, and data quality assurance.
- Evaluate and adopt new technologies and tools to improve the efficiency and scalability of data processing systems.
- Oversee the development and optimization of data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
- Monitor and troubleshoot data pipeline performance issues, ensuring high availability and reliability of data processing workflows.
- Proactively identifies opportunities and addresses areas for high employee satisfaction and engagement.
- Manage the end-to-end delivery of data engineering projects, from requirements gathering and solution design to implementation and deployment.
- Define project timelines, allocate resources effectively, and ensure timely delivery of high-quality deliverables.
- Communicate project status, risks, and dependencies to stakeholders, and proactively address any issues that may arise.
Other information:
Technical Expertise
- Knowledge and experience with data warehouses, data lakes, and analytics and reporting tools, preferably Epic's data warehouse.
- Strong proficiency in cloud platforms such as AWS, Azure, etc.
- Ability to communicate complex information clearly and concisely to all levels of management.
- Experience working with various levels within an organization is preferred.
- Proficiency in Microsoft Suite 360 [Outlook, Excel, Word, Teams, SharePoint] or similar software is required.
- Experience with Databricks Unity Catalog, Delta Lake, MLflow, Agent Frameworks, Vector Search, and Retrieval-Augmented Generation (RAG) architectures preferred.
- Experience with enterprise AI platforms, machine learning operations (MLOps), and AI governance practices preferred.
- Experience supporting operational analytics, healthcare research, and clinical decision support solutions preferred.
- Familiarity with ontology-driven architectures, knowledge graphs, semantic data models, and AI-ready data platforms preferred.
Education and Experience
- Education: Bachelors required in related field of analytics, information services, or healthcare. Master's degree with focus on analytics/computer science, healthcare, or business preferred.
- Licensure: NA
- Certification: None required, certification in clinical/healthcare/nursing informatics, preferred
- Years of relevant experience: Minimum of five (5) years of relevant data engineering and analytics experience required.
- Years of supervisory experience: Two (2) years of management experience preferred.
Full Time
FTE: 1.000000
Status: Fixed Hybrid
