Manager, Data Engineering - School of Medicine Information Technology
About The Position
Works as a positive team member of a project that may consist of Business Analysts, Project Managers, Information Architects, Data Analysts, and/or Database Administrators to deliver quality applications and components within scope, on time, within budget, and ensures compliance. Manages workload effectively and report status of tasks in a timely manner. Is able to guide stakeholders on solutions and support structure. Ensures proper governance of prioritizing work from partners. Forms tactical strategies to support initiatives across the team and University. Leads and proactively identifies emerging technologies; develops proof-of-concepts, and promotes the usage of these emerging technologies. Leads highly complex technical teams. Follows standard operational procedures and HIPAA regulations. Mentors other analysts on regulation adherence. Develops/modifies standard operating procedures. Engages with compliance and IRB for guidance when necessary. Develops strategies for managing complex data sets through maintaining data standards and metadata. Generates standard templates for architecture documentation related to current and proposed informatic solutions. Performs other related duties as required.
Requirements
- Experience with cloud data warehouse platforms (Snowflake preferred) and workflow orchestration tools (Apache Airflow or equivalent)
- Experience with data transformation frameworks (dbt or similar) and modern data engineering practices
- Experience designing and implementing role-based access control (RBAC) systems in multi-user research or healthcare environments
- Experience working with healthcare data standards (OMOP, FHIR, or HL7) and electronic health record systems (Epic preferred)
- Experience with both hands-on technical implementation and team leadership or mentoring
- Familiarity with multimodal research data including imaging, genomics, and clinical data integration
- Experience designing data pipelines for research object ingest, metadata tagging, and controlled data sharing workflows
- Familiarity with research data management practices, IRB requirements, and HIPAA compliance in academic settings
- Experience with AWS cloud services and infrastructure-as-code practices
- Ability to balance strategic architectural decisions with hands-on implementation
- Strong stakeholder management skills working with researchers and technical partners
- Ability to establish data quality standards, governance frameworks, and best practices
- Experience managing competing priorities and high volumes of complex data requests
- A bachelor's degree in a related field and seven years of related experience, OR an equivalent combination of education, training, and experience
Responsibilities
- deliver quality applications and components within scope, on time, within budget, and ensures compliance
- manage workload effectively and report status of tasks in a timely manner
- guide stakeholders on solutions and support structure
- ensure proper governance of prioritizing work from partners
- form tactical strategies to support initiatives across the team and University
- lead and proactively identifies emerging technologies; develops proof-of-concepts, and promotes the usage of these emerging technologies
- lead highly complex technical teams
- follow standard operational procedures and HIPAA regulations
- mentor other analysts on regulation adherence
- develop/modify standard operating procedures
- engage with compliance and IRB for guidance when necessary
- develop strategies for managing complex data sets through maintaining data standards and metadata
- generate standard templates for architecture documentation related to current and proposed informatic solutions
- perform other related duties as required
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What This Job Offers
Job Type
Full-time
Career Level
Manager
