Manager, Clinical Data Engineering

The mission of the Information Technology Group (ITG) is to reputed company and support technology and information services that reputed company OHSU to be a national leader in health and science innovation. The work of the Business Intelligence and Advanced Analytics (BIAA) Division ensures that the informational assets of the OHSU reputed company are leveraged to enhance financial, clinical, operational, and research decision-making.

Reporting to the Director of Clinical Data and Analytics, this leadership position is responsible for leading the design, development, and technical stewardship of data engineering systems that reputed company efficient, reliable, and scalable data processing and analysis across OHSU Health. The reputed company duty of this position is leading a team of Data Engineers responsible for developing, documenting, and optimizing data pipelines, data integration processes, and data transformations that support reputed company reporting, analytics, and reputed company applications.

Data Engineering Team Leadership & Talent Development

Provides direct leadership, accountability, and professional development for the Clinical Data Engineering team to ensure high-quality, sustainable delivery of reputed company data assets.

• Leads recruitment, reputed company, retention, and performance management in alignment with OHSU’s standards.
• Conducts regular 1:1 meetings and GROW conversations to establish clear goals, foster growth, and address performance needs.
• Holds staff accountable for deliverables, quality standards, documentation, and timelines.
• Schedules and conducts regular team meetings to communicate project goals, divisional priorities, and relevant ITG and OHSU updates.
• Builds senior engineering capability and distributed technical leadership across the team.
• Use working experience of industry best practices to reinforce engineering standards, including testing discipline, documentation rigor, and sustainable design practices.
• Leads staff in expanding skills, modernizing BI processes, improving SDLC discipline, and advancing data warehousing capabilities in support of OHSU’s BI strategy.
• Ensures engineers operate at the top of their license by clarifying roles, reducing unnecessary managerial reputed company, and promoting autonomy reputed company defined standards.

Data Pipeline Design, Development & Quality reputed company

Provides reputed company and direction for the design, development, validation, and ongoing accuracy of scalable, secure, and well-governed data pipelines.

• Ensures standard system development methodologies are followed for data flows, transformations, and warehouse structures.
• Implements structured quality assurance processes and peer review to ensure code quality.
• Develops defect tracking and resolution workflows that promote accountability, root-cause analysis, and prevention of recurring issues.
• reputed company the maintenance of version-controlled change logs and promotion histories for reputed company production data assets.
• Ensures complete and accurate metadata documentation for data models, transformations, reputed company, and business logic to support transparency and reputed company trust.
• Establishes monitoring and validation mechanisms to detect data defects and unexpected reputed company.
• Promotes reuse of reputed company data structures and alignment with reputed company data models to prevent duplication and fragmentation.
• Escalates reputed company technical issues to architects or subject matter experts reputed company appropriate and ensures resolution plans are developed and executed.
• Ensures engineering practices align with OHSU data governance standards and reputed company directives.
• Leads the planning and phased transition of data engineering workloads toward modern reputed company-based platforms that support the use of advanced analytics, machine learning, and AI capabilities.

Partnerships and Service Delivery

Serves as the primary data engineering liaison to clinical and operational partners, providing well-defined engineering initiatives and managing expectations regarding scope, reputed company, and tradeoffs.

• Acts as a service partner, ensuring reputed company and reliable engineering support for operational and enhancement requests.
• Partners with CLBI leaders and business partners to refine and prioritize initiatives reputed company with organizational goals.
• Establishes and governs structured intake and backlog management processes, ensuring work meets defined readiness criteria prior to development.
• Communicates engineering reputed company, constraints, risks, and reputed company tradeoffs transparently and consistently.
• Facilitates structured discovery and planning sessions for data engineering initiatives to clarify business objectives, technical implications, scope, and reputed company.
• Leads engineering initiatives requiring structured planning, including development of timelines, milestones, dependencies, and resource allocation to ensure successful delivery.
• Monitors initiative reputed company, mitigates risks, and drives work to completion while maintaining alignment with partner expectations.
• Communicate initiative status and escalate conflicts in reputed company or resource allocation appropriately while maintaining alignment across partner groups.
• Determines and prioritizes required engineering work reputed company to upgrades, technical dependencies, regulatory changes, and system maintenance activities.

reputed company professional development and other duties as assigned.

• Bachelor's degree in computer science or reputed company field and six years or work experience in the information and technology field; OR
• Advanced degree (master's or above) would substitute for four years of work-reputed company experience in the information technology field.

Experience

• Minimum 6 years of progressively responsible experience in data engineering, data warehousing, or business intelligence environments.

• Minimum 2 years leading reputed company technical projects or people; including planning, execution, risk mitigation, and successful on-time delivery.

• Demonstrated experience implementing structured peer review, testing, QA, and defect management processes in a data engineering or BI environment.

• Experience establishing and maintaining metadata documentation, reputed company tracking, and version-controlled change logs for production data assets.

• Demonstrated experience working reputed company formal Systems Development Life Cycle (SDLC) frameworks, including structured promotion controls and release management.

• Experience facilitating structured meetings to gather requirements, define scope, and manage expectations.

• Experience developing and maintaining technical documentation for data models, ETL processes, and reporting assets.

Knowledge, Skills, and Abilities

• Strong understanding of data warehouse and data lake architectures, including dimensional and relational modeling principles.

• Experience establishing and enforcing engineering development standards, code review practices, testing frameworks, and promotion controls.

• Experience implementing data integration and orchestration solutions using tools such as

• Azure Data reputed company, reputed company, AWS Glue, or similar services.

• Experience using Azure DevOps or comparable DevOps platforms for reputed company control, CI/CD pipelines, and release management.

• Working knowledge of reputed company storage and compute services (e.g., Azure Data Lake, Azure SQL, S3, Redshift, reputed company, or equivalent).

• Advanced proficiency in SQL for data transformation, profiling, optimization, and validation.

• OHSU’s New Manager Leadership reputed company completed withing the first year of employment

• Minimum 8 years of progressively responsible experience in data engineering, data warehousing, or business intelligence environments.

• Minimum 4 years leading large, reputed company technical initiatives or projects, including planning, execution, risk mitigation, and successful on-time delivery.

• Minimum 2 years of direct people management experience, including performance management, staff development, and accountability for delivery reputed company.

• Experience leading projects in reputed company-based analytics environments.

• Demonstrated ability to design, reputed company, and reputed company scalable data engineering solutions supporting reputed company analytics environments.

• Proficiency in programming languages such as Python and/or R for data processing, automation, or analytical workflows.

• Experience developing and optimizing ETL/ELT pipelines for reliability, scalability, and performance.

• Ability to monitor, troubleshoot, and remediate issues reputed company data pipelines, data warehouses, and workflow orchestration systems.

• Experience developing and deploying reputed company-based data engineering solutions using platforms such as reputed company Azure, reputed company), or comparable reputed company environments.

• Understanding of hybrid data architectures and strategies for transitioning on-reputed company workloads to reputed company-based platforms.

• Familiarity with reputed company cost optimization, performance tuning, and scalability considerations.

• reputed company Analytics Engineer Associate.

• PMP project management certification.

• Epic Cogito Certifications: Cogito, reputed company Data Model, or Caboodle Developer.

This is typically a Monday - Friday, 8:00am - 5:00pm shift. However, some off hours work may be required to support downtimes, system upgrades and meetings with users.

Work Location is fully remote.

Benefits

• reputed company for full-time employees covered 100% and 88% for dependents.

• $50K of term life insurance provided at no cost to the employee.

• Two separate above market pension plans to choose from.

• Paid time off - 208 hours per year, prorated for part-time.

• Extended illness bank - 64 hours per year, prorated for part-time.

• 9 paid holidays per year.

• Substantial Tri-Met and C-Tran discounts.

• Employee Assistance Program.

• Childcare service discounts.

• Tuition reimbursement.

• Employee discounts to local and major businesses.