Engineering Manager

Vizient•Irving, TX
•Remote

About The Position

The Engineering Manager oversees and directs the technical execution of software and data engineering teams, ensuring delivery through appropriate engineering methods, best practices, and modern technologies. The role partners with product owners, business stakeholders, and subject matter experts to gather requirements, translate business needs into technical solutions and data products, and deliver high-quality outcomes on schedule. The manager establishes, enforces, and improves engineering standards for coding, documentation, testing, peer reviews, and release controls. The role provides oversight of implementation plans and enterprise solution alignment, leads SDLC and agile practices, resolves delivery blockers, and ensures product and platform quality, reliability, and performance. It also evaluates and standardizes development tools and technologies, supports governed and scalable adoption of AI/ML capabilities, and mentors engineers through coaching, performance feedback, review cycles, and upskilling plans. The position supervises Software Developers, Business Intelligence Analysts, and Software Quality Assurance Analysts and Testers. Full-time telecommuting from a home office is available within commuting distance of the headquarters at 290 E John Carpenter Fwy, Irving, TX 75062. Up to 10% domestic travel per year is required for leadership training and corporate events. The position is incentive eligible. Visa sponsorship is not available.

Requirements

  • Bachelor’s degree or equivalent in Computer Science, Computer Information Systems, Electrical Engineering, Electronics Engineering, or a related field.
  • Five years of related, progressive, post-baccalaureate experience in a software development or engineering occupation.
  • 60 months of experience performing data analysis and validation with complex T-SQL/SQL queries, including joins and subqueries, and implementing triggers and primary/foreign key constraints to enforce business rules and data integrity.
  • 60 months of experience designing and developing ETL solutions using SSIS, including advanced transformations and control-flow automation.
  • 60 months of experience deploying and supporting production ETL processes, including SSIS package configurations, event handlers, checkpoints, logging, operational troubleshooting, and error handling.
  • 60 months of experience automating ETL scheduling and batch workflows using Automic (UC4) jobs, job plans, and event triggers, including file transfer automation.
  • 60 months of experience developing data movement solutions across heterogeneous sources and formats using SSIS, BCP, Bulk Insert, or DTS; integrating Oracle, DB2, and SQL Server; and ingesting flat files, Excel, CSV, and XML.
  • Experience requirements may be gained concurrently.
  • Ability to work from a home office within commuting distance of the headquarters in Irving, Texas.
  • Ability to travel domestically up to 10% per year.

Responsibilities

  • Oversee and direct technical execution of software and data engineering teams.
  • Partner with product owners, business stakeholders, and subject matter experts to gather requirements and translate business needs into technical solutions and data products.
  • Establish, enforce, and continuously improve coding, documentation, testing, peer review, and release-control standards.
  • Oversee implementation plans and enterprise solution alignment, including architecture consistency, platform integration, and compliance with organizational technology standards.
  • Lead and improve SDLC and agile practices, including agile ceremonies and engineering processes.
  • Identify, escalate, and resolve technical dependencies, operational issues, process gaps, and cross-team impediments.
  • Ensure product and platform quality, reliability, and performance through operational readiness, monitoring and alerting expectations, and continuous improvement.
  • Evaluate, select, and standardize development tools and technologies, and guide teams in their adoption and consistent use.
  • Collaborate with analytics and data science teams to evaluate AI/ML use cases, support model operationalization, and integrate AI/ML capabilities into engineering platforms and products.
  • Mentor and develop engineers through one-on-one coaching, performance feedback, review cycles, and targeted upskilling plans.
  • Supervise Software Developers, Business Intelligence Analysts, and Software Quality Assurance Analysts and Testers.
  • Attend leadership training and corporate events requiring up to 10% domestic travel per year.

Benefits

  • Vizient states that it offers a comprehensive benefits plan and directs applicants to its benefits webpage for details.
  • The position is incentive eligible.
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