Data Engineering Manager

The Manager of Data and Engineering lead the technical development, reliability, architecture, and governance of the health system’s enterprise data environment. This role oversees enterprise data platforms, integrations, data pipelines, data models, and technical infrastructure supporting reporting, analytics, financial planning, and organizational decision-making. The position partners closely with Information Technology, Business Intelligence, Finance, clinical, and operational teams to ensure enterprise data is reliable, secure, scalable, well-governed, and available for organizational use. Essential Duties and Responsibilities Data Architecture & Enterprise Platforms Own the architecture, development, and technical administration of the enterprise data warehouse, lake house, and related analytical data platforms. Establish scalable data architecture and modeling standards supporting enterprise reporting, analytics, financial planning, and decision support. * Lead development and maintenance of enterprise data models, data marts, reusable data structures, and shared analytical datasets.

• Evaluate and recommend improvements to enterprise data architecture, platforms, tools, and technical capabilities.
• Reduce redundant data structures, unsupported solutions, unnecessary data movement, and technical debt.

Data Engineering & Integration Lead development and maintenance of ETL/ELT pipelines, SQL objects, integrations, interfaces, and automated data-processing workflows. Manage data feeds from Epic, Axiom, Premier, payroll, financial, workforce, clinical, operational, and other enterprise systems. * Establish standards for data ingestion, transformation, reconciliation, validation, and integration.

• Ensure data pipelines and integrations are reliable, efficient, maintainable, and appropriately monitored.
• Troubleshoot complex data integration, performance, availability, and processing issues.

Analytics & Business Intelligence Technical Enablement Provide the technical data foundation supporting enterprise Business Intelligence, Finance, operational analytics, and organizational reporting. * Partner with Business Intelligence on shared datasets, semantic-model architecture, gateways, refresh processes, deployments, and reporting performance.

• Support technical requirements for budgeting, forecasting, cost accounting, productivity reporting, management reporting, service-line analysis, and other analytical functions.
• Develop reusable data assets that enable standardized reporting and governed self service analytics.
• Ensure analytical platforms and technical solutions can scale with organizational reporting and data needs.

Data Governance, Reliability & Technical Standards Ensure data availability, platform reliability, data lineage, technical documentation, and appropriate monitoring of enterprise data environments. Establish development, testing, source-control, deployment, release-management, and change management standards. * Establish technical data-quality controls and processes for identifying and resolving data issues.

• Maintain documentation of data architecture, integrations, pipelines, models, business rules, dependencies, and technical processes.
• Partner with Information Technology on information security, infrastructure, access management, backup, business continuity, and disaster recovery.
• Support compliance with organizational data-governance, security, privacy, and technology standards.

Leadership & Operational Partnerships Supervise, develop, and prioritize the work of assigned data engineering, developer, and technical staff. * Build technical capabilities through coaching, mentoring, documentation, cross-training, and professional development.

• Establish technical priorities based on organizational strategy, business requirements, system dependencies, and available resources.
• Partner with Business Intelligence to ensure business requirements are translated into sustainable technical solutions.
• Partner with FP&A to support financial planning, cost accounting, productivity, and management-reporting data requirements.
• Partner with Information Technology and application teams regarding infrastructure, source systems, security, integrations, and technical architecture.
• Communicate technical risks, dependencies, resource requirements, and recommendations to leadership.

Demonstrates System Values in performance and behavior. Complies with System policies and procedures. Other duties as may be assigned., Carries out supervisory responsibility in accordance with the organization’s policies and applicable laws. Responsibilities include interviewing, hiring, training, assigning, coaching, counseling, and disciplining employees; administering scheduling systems; communicating job expectations; planning, monitoring, appraising, and reviewing job contributions; enforcing policies and procedures.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., Bachelor’s Degree computer science, information systems, data engineering, or a related field and 5 or more years relevant experience, * Bachelor’s degree in computer science, information systems, data engineering, or a related field

• Five years of experience in data engineering, database development, data warehousing, or business intelligence.
• Previous supervisory, technical-lead, or project-lead experience.
• Advanced knowledge of SQL, ETL/ELT, data modeling, and enterprise reporting platforms.

Preferred: Experience working with healthcare data. Experience with Epic Clarity, Caboodle, Power BI, Microsoft Fabric, Azure, Axiom, or Premier. Master’s degree or relevant technical certification.

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