Manager, Data Engineering - School of Medicine Information Technology

Emory•Atlanta, GA

1d•Remote

About The Position

Discover Your Career at Emory University Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community. Description JOB DESCRIPTION: 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

A bachelor's degree in a related field and seven years of related experience, OR an equivalent combination of education, training, and experience.
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

Responsibilities

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.