Engineering Manager: Data & AI Platform Delivery

Vizient

Irving (TX)

Remote

USD 193,000 - 236,000

Full time

6 days ago
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Job summary

Vizient in Irving, TX is seeking an Engineering Manager to oversee software/data engineering teams, drive delivery, and set engineering standards. You’ll partner with product owners and data science teams to translate business needs into scalable data solutions, while ensuring security, performance, and maintainability.

Lead SDLC and agile practices, remove blockers, mentor engineers, and guide tool adoption across the platform.

Qualifications

  • Bachelor’s degree or equivalent in CS/related field.
  • 5 years of related software/engineering experience.
  • 5 years in data analysis with complex SQL/ETL
  • 5 years designing ETL with SSIS and automation
  • Experience automating ETL scheduling with UC4/Automic

Responsibilities

  • Oversee and direct the technical execution of software/data engineering teams, ensuring delivery using best practices and modern technologies.
  • Partner with product owners and stakeholders to translate requirements into technical data solutions.
  • Establish and enforce engineering standards, coding/docs/testing practices, reviews, and release controls.
  • Lead SDLC and agile practices to improve predictability and throughput; remove blockers across teams.
  • Mentor engineers through coaching, performance feedback, and upskilling plans; drive tool adoption and architectural alignment.

Skills

Leadership
Mentoring
Agile methodologies
Data analysis
Cross-team collaboration

Education

Bachelor’s degree in CS/related field

Tools

Azure Databricks
Delta Lake
Apache Spark
SQL
Python
Azure Data Factory
Azure Data Lake Storage
Azure Key Vault
AIML
REST APIs
Git
CI/CD Pipelines
Azure DevOps
Pulumi
Power BI
SSIS
Automic UC4

Job description

Vizient in Irving, TX is seeking an Engineering Manager to oversee software/data engineering teams, drive delivery, and set engineering standards. You’ll partner with product owners and data science teams to translate business needs into scalable data solutions, while ensuring security, performance, and maintainability.

Lead SDLC and agile practices, remove blockers, mentor engineers, and guide tool adoption across the platform.

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