Quality Assurance Workflow Automation and Analytics Engineer

Career Opportunities:
Quality Assurance Workflow Automation and Analytics Engineer (20229)

Requisition
20229
-Posted
09/08/2026

- Quality Management
- Level of Experience (1)
- No travel required
- Job Location Options (1)

Location: Oak Ridge, TN
Job Title: Quality Assurance Workflow Automation and Analytics Engineer
Career Level From: Associate
Career Level To: Senior Specialist
Job Specialty: Quality Assurance

The Quality Assurance Workflow Automation and Analytics Engineer works alongside Quality Assurance and Readiness Assurance staff to make essential day to day work faster, more consistent, and easier to verify. The role identifies manual and repetitive work that consumes professional time, then builds the automated workflows, digital forms, and AI-assisted tools which carry that work out reliably to accelerate assurance processes.

Work is performed within site-approved platforms, and the role partners with Information Services and Digital Transformation on anything that crosses enterprise system boundaries.

Key responsibilities include:

• Workflow Automation:
  Design, build, and maintain automated quality assurance workflows and digital forms using site-approved systems such as Tableau, SharePoint, Microsoft CoPilot, SAP, PWM, and approved AI platforms. This includes developing and testing new digital quality oversight tools, workflows, and automated report generators to remove administrative redundancies and enhance process efficiency.
• Automated Process & AI Optimization:
  Partner with QA process owners to master mission-critical workflows, delivering engineered prompts, templates, agents, and/or scripts that convert manual tasks into dependable, AI-assisted workflows. Drive each solution from concept to production on rapid, focused cycles. Securely connect approved AI capabilities to QA data sources, coordinating with Information Services for enterprise-level system integration.
• Reliability and Verification:
  Design the review points, checks, and record keeping that make digital workflows verifiable, repeatable, and defensible within a nuclear quality program. Test each tool against known cases before it is placed in use, and retest after changes to confirm it still performs as expected.
• Process Mapping and Analysis:
  Collaborate with QA program leads to evaluate existing process maps, identify manual bottlenecks, and recommend modern digital solutions that can be rapidly prototyped and deployed to compress cycle times and move schedule velocity to the left.
• Data Visualization and Performance Metrics:
  Connect automated workflows to centralized tracking systems and interactive dashboards such as Tableau. Build and maintain real-time status and analytics boards that monitor critical quality metrics, trends, and milestones, giving leadership actionable, data-driven insight.
• Technical Translation and Modernization Liaison:
  Translate Quality Assurance process needs into clear technical requirements that Information Services and Digital Transformation partners can act on. Serve as the QA point of contact for emerging digitization work, and turn user ideas into simple working prototypes that demonstrate value before larger investment is made.
• Technical Troubleshooting and Maintenance:
  Provide the scripting adjustments needed to troubleshoot and sustain existing QA office automations, ensuring daily operational reliability.
• Support Organizational Continuous Improvement initiatives related to digital modernization and digital assurance.

• Meaningful work and unique opportunities to support missions vital to national and global security
• Top-notch, dedicated colleagues
• Generous pay and benefits with a stable organization
• Career advancement and professional development programs
• Work-life balance fostered through flexible work options and wellness initiatives
• OR 8 or more years of education and/or relevant experience may be considered to satisfy educational and years-of-experience requirements for this posting
• Basic understanding of, or experience with, workflow automation tools, data visualization software (such as Tableau or Power Bi), and relational databases.
• Practical experience working with commercial large language models beyond the chat interface, including from a command line or through an application programming interface (API), and the ability to write instructions that return consistent, structured results that a script or database can use.
• Sound judgment about the limits of AI-generated output, including the…