Engineering Manager, AI/ML Data Platforms

Vizient, Inc; Irving (TX); On-site; USD 193,000 - 236,000; Full time

Job summary

Vizient, Inc. seeks a senior engineering leader to oversee software and data engineering teams in Irving, TX.

Partner with product owners and stakeholders to translate business needs into scalable data products and deliver high-quality outcomes on schedule. You will drive SDLC and agile practices, establish coding standards, mentor engineers, and guide the adoption of state-of-the-art tools such as Azure Databricks, Spark, SQL, Python, SSIS, and AI/ML integration to ensure secure,

Qualifications

• This role requires a Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or related field with 5+ years in software/engineering.
• Experience with T-SQL/SQL, ETL design using SSIS, and production ETL deployments is required.
• Strong background in SDLC/Agile practices and mentoring engineers is essential.

Responsibilities

• Oversee and direct the technical execution of software/data engineering teams and ensure delivery using modern engineering practices.
• Collaborate with product owners and stakeholders to translate business needs into data products and solutions.
• Establish coding standards, testing, documentation, and governance across platforms.
• Drive AI/ML-enabled solutions integration and ensure secure, scalable enterprise platforms.

Skills

Data analysis

SQL

ETL design

Programming

SDLC

Agile methods

Mentoring

Stakeholder collaboration

Education

Bachelor's degree in CS/IS/EE or 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

Data Quality frameworks

Medallion Architecture

Data Modeling

Automic UC4

Power BI

SSIS

Job description

Vizient, Inc. seeks a senior engineering leader to oversee software and data engineering teams in Irving, TX.

Partner with product owners and stakeholders to translate business needs into scalable data products and deliver high-quality outcomes on schedule. You will drive SDLC and agile practices, establish coding standards, mentor engineers, and guide the adoption of state-of-the-art tools such as Azure Databricks, Spark, SQL, Python, SSIS, and AI/ML integration to ensure secure,