Senior Data Operations Engineer

Texas Children's Medical CenterHouston, TX

About The Position

We’re searching for a Senior Data Operations Engineer, someone who works well in a fast-paced setting. In this position, you’ll provide advanced leadership in the design, development, governance, and optimization of operational data and analytics solutions. Think you’ve got what it takes?

Requirements

  • Bachelor's degree in computer science, business administration, healthcare administration, business, technology, science or healthcare field required
  • 7 years of progressive experience in data operations, analytics, business intelligence or related roles, preferably in complex healthcare or operational environments, required

Nice To Haves

  • Master's degree in computer science, business administration, healthcare administration, business, technology, science or healthcare field preferred
  • Experience working with cloud data warehouses and/or data lakes preferred
  • Master’s degree in computer science, business administration, healthcare administration or other business or technology field may substitute for two (2) years of required experience

Responsibilities

  • Leads the design, build, and ongoing optimization of complex data marts, dashboards, and reporting solutions that support operational, clinical, quality, and strategic decision-making
  • Ensures analytics solutions are scalable, sustainable, and aligned with enterprise data architecture and reporting standards
  • Acts as a primary senior point of contact between operational/clinical leaders and IS for data, reporting, and analytics initiatives
  • Establishes and leads data quality strategies, validation processes, and monitoring frameworks for assigned operational domains
  • Ensures data integrity, continuity, and accuracy through system changes and new implementations
  • Leads development and implementation of new or enhanced data-driven processes that improve operational performance, quality outcomes, and efficiency
  • Maintains deep expertise in source systems, workflows, data models, and reporting structures across assigned clinical and operational areas
  • Participates in and influences committees, workgroups, and initiatives related to data, analytics, and operational performance
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