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Jack Henry

Cloud-based core banking and payments platform

Transformational Automation Strategist – Senior Level

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeAllen, TX, USANo salary listed

About the Job

Requirements

  • A minimum of 4 years of experience in systems automation, software development, production operations, application support, systems integration, or a related technical field is required.
  • 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 is required, 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 is required.
  • Experience designing or implementing AI-enabled automation, tool-based workflows, or other intelligent solutions incorporating enterprise knowledge, system integrations, exception handling, human review, and production monitoring is required.
  • Experience analyzing complex operational processes, documenting system and workflow dependencies, and designing future-state solutions that complement established production platforms and controls is required.
  • 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 is required.
  • Ability to listen, build trusted relationships, facilitate cross-functional discussions, communicate technical concepts clearly, and collaborate effectively with business and technology stakeholders is required.

Responsibilities

  • Create a strategy for prioritizing and developing technical automations for streamlined business processes according to corporate strategies, business needs, and technological scalability.
  • Engage proactively with representatives from various business units to transform process maps from the current state to a future state of automation readiness.
  • Produce process maps for global and enterprise interactions, standardizing and connecting segregated department-level processes into the joint enterprise process framework.
  • Determine which processes or portions of processes are best suited to which methods and controls to achieve desired outcomes and productivity gains, including AI, intelligent process automation, optical character recognition, robotic process automation, machine learning, natural language processing, orchestration, and workflow tools.
  • Produce control processes for levels of autonomy in cognitive control, human-machine interaction, and feedback and feedforward.
  • Identify, design, and implement AI-enabled tools, processes, and workflows that improve operational efficiency, reduce manual effort, and support scalable business outcomes.
  • Evaluate business processes to determine where AI, machine learning, workflow automation, or other emerging technologies can eliminate repetitive work and improve accuracy.
  • Partner with business and technology teams to deploy AI-based solutions responsibly, ensuring appropriate controls, testing, adoption support, and measurable productivity gains.
  • Monitor implemented AI and automation solutions to validate performance, optimize outcomes, and identify opportunities for continued process improvement.
  • Build the technological enterprise process framework, including development and configuration of supporting technologies.
  • Develop standards for maintaining the integrity of the framework within business-as-usual operations.
  • Orchestrate complex processes across business units, platforms, or applications; create and execute a strategy to incorporate automated testing and safeguarding of connected processes.
  • Define qualitative and quantitative metrics to capture baseline data and perform process automation analytics; validate that automated process deployments meet defined specifications, quality, and productivity goals.
  • Pioneer a culture of transformation and hyper-automation across the organization.
  • Perform other job duties as assigned.

Desired Qualifications

  • A bachelor’s degree in computer science, information systems, engineering, business analytics, data science, or a related discipline is preferred.
  • Hands-on experience with AIX, OpCon, Perl, Shell, SFTP, NDM, or comparable operating-system, workload-automation, scripting, and managed file-transfer technologies is preferred.
  • Experience designing batch-job dependencies, scheduling logic, file-arrival controls, exception handling, rerun procedures, controlled recovery, and duplicate-processing safeguards is preferred.
  • Experience developing Power BI dashboards or comparable reporting solutions for workload performance, operational exceptions, service levels, reliability, capacity, or productivity is preferred.
  • Experience designing agentic workflows using enterprise knowledge retrieval, tool calling, structured outputs, multistep orchestration, approval gates, and escalation paths is preferred.
  • Experience with an enterprise AI development platform such as Vertex, or comparable experience developing and deploying intelligent automation solutions, is preferred.
  • Experience with Model Context Protocol concepts, reusable connectors, REST APIs, or other approaches for connecting intelligent workflows to enterprise systems is preferred.
  • 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 is preferred.
  • Understanding of semantic search, embeddings, enterprise knowledge retrieval, source grounding, and content-access controls is preferred.
  • Experience with observability, telemetry, distributed tracing, or production-investigation platforms such as Datadog or Honeycomb is preferred.
  • Experience using Jira and Confluence, or comparable platforms, to manage requirements, technical work, testing, decisions, documentation, and production releases is preferred.
  • Experience with Agile delivery, including backlog refinement, sprint planning, incremental delivery, demonstrations, retrospectives, and production stabilization, is preferred.
  • Knowledge of Lean Six Sigma, DMAIC, root-cause analysis, or another structured continuous-improvement methodology is preferred.
  • Experience creating current-state and future-state process maps documenting systems, handoffs, dependencies, controls, exceptions, and decision points is preferred.
  • Experience establishing quantitative and qualitative baselines and measuring improvements in cycle time, quality, reliability, rework, exception volume, service levels, or operational capacity is preferred.
  • Experience supporting high-availability, business-critical, financial-services, or regulated production environments is preferred.
  • Experience mentoring developers, analysts, engineers, or less-experienced automation professionals is preferred.

About the Company

Jack Henry

Cloud-based core banking and payments platform

Jack Henry & Associates provides software and payment processing for banks and credit unions. Its cloud-native platform on Google Cloud unifies core banking, digital banking, payments, loans, and deposits in one ecosystem, with gradual migration from legacy cores. The company also offers instant payments and embedded finance to modernize operations and improve the customer experience. Its goal is to help financial institutions of all sizes modernize technology, increase efficiency, and manage risk to compete with larger banks.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Monett, MO
Founded
2000

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