In this role you will create a strategy for prioritizing and developing technical automations for streamlined business processes according to corporate strategies, business needs, and technological scalability. Leads innovative technology solutions for automation. Works comfortably within an agile framework to ensure that outcomes are smart, flexible, and centered around the user experience. Involvement lasts from concept through production release and stabilization.
This is a Hybrid position and candidates must live within approximately a 70-mile radius of our office location in Allen, TX and will be expected on-site once a week.
All positions, regardless of location, may require an onsite interview or in-person onboarding requirement to verify your identity.
What you'll be responsible for:
• Creates a strategy for prioritizing and developing technical automations for streamlined business processes according to corporate strategies, business needs, and technological scalability.
• Proactively engages with representatives from various business units to transform process maps from current state to a future state of automation readiness.
• Produces process maps for global/enterprise interactions, standardizing and connecting segregated department-level processes into the joint enterprise process framework.
• Determines for the overall framework which processes/portions of processes are best suited to which methods and controls to achieve the desired outcomes and productivity gains (AI, IPA, OCR, RPA, ML, NLP, Orchestration, Workflow, etc.)
• Produces control processes for levels of autonomy in cognitive control, human-machine interaction, and feedback/feedforward.
• Identifies, designs, and implements AI-enabled tools, processes, and workflows that improve operational efficiency, reduce manual effort, and support scalable business outcomes.
• Evaluates business processes to determine where AI, machine learning, workflow automation, or other emerging technologies can eliminate repetitive work and improve accuracy.
• Partners with business and technology teams to deploy AI-based solutions responsibly, ensuring appropriate controls, testing, adoption support, and measurable productivity gains.
• Monitors implemented AI and automation solutions to validate performance, optimize outcomes, and identify opportunities for continued process improvement.
• Builds the technological enterprise process framework, including the development/configuration of the supporting technologies.
• Develops the standards for maintaining the integrity of the framework within the BAU.
• Orchestrates the flow of complex processes across various business units, platforms or applications. Creates and executes a strategy to incorporate automated testing and safeguarding of connected processes.
• Defines qualitative and quantitative metrics to capture baseline data and perform process automation analytics. Validates that automated process deployments meet defined specifications, quality, and productivity goals.
• Pioneers a culture of transformation and hyper-automation across the organization.
• May perform other job duties as assigned.
What you'll need to have:
• Minimum of 4 years of experience in systems automation, software development, production operations, application support, systems integration, or a related technical field.
• Experience developing and supporting automation for business-critical Unix, Linux, or AIX environments using Perl, Shell, Python, PowerShell, or another relevant programming or scripting language, including batch processing, workload scheduling, file processing, or managed file-transfer workflows.
• Experience applying APIs, structured data, authentication, error handling, logging, source control, automated testing, and software-release practices to deliver reliable and maintainable technical solutions.
• Experience designing or implementing AI-enabled automation, tool-based workflows, or other intelligent solutions that incorporate enterprise knowledge, system integrations, exception handling, human review, and production monitoring.
• Experience analyzing complex operational processes, documenting system and workflow dependencies, and designing future-state solutions that complement established production platforms and controls.
• Ability to independently evaluate complex and diverse problems, exercise sound judgment, organize competing priorities, and select appropriate methods based on business value, scalability, reliability, and operational risk.
• Strong emotional intelligence and demonstrated ability to listen, build trusted relationships, facilitate cross-functional discussions, communicate technical concepts clearly, and collaborate effectively with business and technology stakeholders.
What would be nice for you to have:
• Bachelor's degree in computer science, information systems, engineering, business analytics, data science, or a related discipline.
• Hands-on experience with AIX, OpCon, Perl, Shell, SFTP, NDM, or comparable operating-system, workload-automation, scripting, and managed file-transfer technologies.
• Experience designing batch-job dependencies, scheduling logic, file-arrival controls, exception handling, rerun procedures, controlled recovery, and duplicate-processing safeguards.
• Experience developing Power BI dashboards or comparable reporting solutions for workload performance, operational exceptions, service levels, reliability, capacity, or productivity.
• Experience designing agentic workflows that use enterprise knowledge retrieval, tool calling, structured outputs, multistep orchestration, approval gates, and escalation paths.
• Experience with an enterprise AI development platform such as Vertex, or comparable experience developing and deploying intelligent automation solutions.
• Experience with Model Context Protocol concepts, reusable connectors, REST APIs, or other approaches for connecting intelligent workflows to enterprise systems.
• Experience using AI-assisted development tools such as Cursor, GitHub Copilot, IBM Bob, JetBrains AI Assist, or comparable technology to analyze, develop, test, document, or modernize code.
• Understanding of semantic search, embeddings, enterprise knowledge retrieval, source grounding, and content-access controls.
• Experience with observability, telemetry, distributed tracing, or production-investigation platforms such as Datadog or Honeycomb.
• Experience using Jira and Confluence, or comparable platforms, to manage requirements, technical work, testing, decisions, documentation, and production releases.
• Experience with Agile delivery, including backlog refinement, sprint planning, incremental delivery, demonstrations, retrospectives, and production stabilization.
• Knowledge of Lean Six Sigma, DMAIC, root-cause analysis, or another structured continuous-improvement methodology.
• Experience creating current-state and future-state process maps that document systems, handoffs, dependencies, controls, exceptions, and decision points.
• Experience establishing quantitative and qualitative baselines and measuring improvements in cycle time, quality, reliability, rework, exception volume, service levels, or operational capacity.
• Experience supporting high-availability, business-critical, financial-services, or regulated production environments.
• Experience mentoring developers, analysts, engineers, or less-experienced automation professionals.
If you got this far, we hope you're feeling excited about this opportunity. Even if you don't feel you meet every single requirement on this posting, we still encourage you to apply. We're looking for passionate, driven individuals who align with our mission and can bring unique perspectives to our team.
