Manager of Data Engineering - Central Health

The Manager of Data Engineering provides leadership, coordination, and management of all processes and functions within the Data Engineering team. This role is responsible for overseeing day-to-day operations to support the Central Health Enterprise and its external partners. Key responsibilities include prioritizing and delegating team efforts, identifying and resolving technical challenges, improving team processes for increased efficiency, and mentoring team members to foster skill development. The Manager will coordinate internal and external projects with Joint Tech staff and vendors as needed.
Additionally, the Manager of Data Engineering will communicate obstacles and progress to the Joint Tech Directors and CIO, ensuring alignment with senior leadership expectations. This role works closely with the Director of IT/IS – Data Engineering and Integration Services, the Manager of Data Integration, and Data Architects to establish and implement best practices for enterprise data pipelines. The Manager is also
responsible for contributing to IT initiatives and performing other duties as required to execute enterprise
strategies.

***This position is considered Hybrid, which means that individuals in this position may work both at an approved
Offsite location and Onsite at a primary location or multiple locations based on Business Needs.

• Directly manage staff, including hiring, firing, assigning and prioritizing work, setting employee goals, reviewing team performance metrics and completing performance reviews
• Analyze problems related to data models and data pipelines, and develop solution-focused recommendations
• Manage data lineage, data catalogs, and metadata within our data governance platform as it relates to data models and data pipelines
• Perform vendor management and oversight as needed
• Utilize standardized department tools/software systems to monitor progress toward project milestones and deadlines, reassigning resources when necessary to meet organizational objectives
• Be responsible for implementing and maintaining leadership-approved best practices for design, development and implementation of data pipelines and their components
• Manage and validate the development of new data models, data pipelines, SQL functions/procedures, reports, and other development tasks as necessary
• Oversee data software implementations, upgrades and/or enhancements and other aspects of data engineering
• Manage and oversee the Data Engineering team processes and staff including Data Engineers, Quality Assurance
• Specialist(s), and Data Architect(s)
• Manage delivery of advanced support for Enterprise data models and data pipelines, coordinating efforts with
• User Support, network administrators, system administrators, network engineers, and other staff as needed
• Must be able to work outside of standard business hours when needed

MINIMUM EDUCATION:

• Associate's Degree Associates degree or higher in Information Systems, Information Technology, Computer Science, Data Analytics, Data Science or related field

MINIMUM EXPERIENCE:

• 5 years of experience in related technologies, including electronic health records (EHRs), database and data warehousing platforms, ETL/ELT tools, cloud based systems, including but not limited to Epic EHR, Snowflake, Microsoft SQL Server or PostgreSQL, and Boomi
• 2 years of IT management 
• 2 years of experience mentoring other Data Engineers

Licenses and Certifications:

• EPIC - EPIC Certification - within 6 Months
• Boomi Professional Developer - within 3 Months