Manager-Information Services

Indiana University Health System•Indianapolis, IN
•Hybrid

About The Position

The Manager-Information Services leads the Data Acquisitions engineering team responsible for reliable, scalable intake and preservation of enterprise data from clinical, operational, research, and partner sources. The role oversees software engineering delivery for high-volume, business-critical data pipelines using Azure Databricks and related Azure services, configuration-driven development, automated testing, CI/CD, and Agile practices. It ensures capabilities align with enterprise architecture, governance, security, and operational requirements, and provide an authoritative data-source foundation for the enterprise data platform and clinical research initiatives. The manager builds and leads a highly technical team, establishes measurable service and delivery outcomes, and deploys human and financial resources effectively. The position is full-time and hybrid/onsite, and the employee must live and work in Central Indiana.

Requirements

  • Bachelor's degree or equivalent experience; a bachelor's degree is preferred.
  • 5–7 years of relevant experience in Information Services and/or a management role.
  • Strong technical background in data engineering and software delivery, with demonstrated understanding of Azure Databricks, SQL and Python-based development, cloud data platforms, configuration-driven solutions, source control, automated testing, CI/CD, and Agile delivery workflows.
  • Fundamental understanding of project accounting and financial management.
  • Understanding of general Information Management roles, responsibilities, and best practices.
  • Strong working skills with MS Office tools such as Word, Excel, PowerPoint, and Visio are preferred.
  • Must live and work in Central Indiana.

Nice To Haves

  • Relevant coursework or certifications in Azure Databricks, Azure data engineering or architecture, Agile delivery, DevOps/CI/CD, ITIL, project management, or continuous improvement.
  • Demonstrated hands-on leadership of comparable technical teams may be considered in place of certifications.
  • Experience with contractor and vendor management.
  • Experience acquiring, managing, and securely delivering large-scale multimodal data, including genomics, medical imaging, unstructured text, and wearable or device-generated data, for distributed, edge, and clinical research use cases.

Responsibilities

  • Oversee the productivity of the assigned Information Services team and resources.
  • Ensure project outcomes conform to business and clinical needs, and demonstrate consistent and reliable execution.
  • Build a functional team and ensure human and financial resources are effectively deployed.
  • Establish metrics and track improvements.
  • Manage team members and promote ownership needed to achieve departmental plans and direction.
  • Review and evaluate staff work and prepare performance reports.
  • Provide technical leadership for a software development team designing, building, testing, deploying, and supporting enterprise-scale data acquisition pipelines and reusable ingestion capabilities.
  • Lead acquisition and continuity planning for complex clinical, operational, research, partner, and multimodal data sources, including the transition from Cerner to Epic and support for reusable enterprise and Hoosier BRIDGE data products.
  • Own SLA-driven delivery and production operations for business-critical data acquisition at TB/PB scale and more than 5,000–10,000 daily executions, including observability, incident response, recovery, performance, capacity, and cost management.
  • Apply enterprise architecture and software engineering practices across Azure Databricks and related Azure services, including configuration-driven and metadata-driven development, infrastructure as code, source control, automated testing, CI/CD, environment promotion, security, governance, and platform migration.
  • Maintain working knowledge of enterprise and healthcare data integration patterns and exchange standards, including batch, streaming, files, APIs, HL7, FHIR, and CCDA.
  • Ensure source provenance, reconciliation, lineage, and continuity are incorporated into delivery.
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