Transformational Automation Strategist (Mid - Senior Level)

Jack Henry•Allen, TX

6d•Hybrid

About The Position

Jack Henry is hiring a Transformational Automation Strategist to develop and lead technical automation strategies that streamline business processes in alignment with corporate strategy, business needs, and technology scalability. The role works across business and technology teams to transform current processes into automation-ready future states, develop enterprise-wide process frameworks, and identify the best technologies and controls for achieving desired outcomes and productivity gains. The strategist designs and implements AI-enabled tools, workflows, and automation solutions, ensuring responsible deployment through appropriate controls, testing, adoption support, and performance monitoring. The role spans concept through production release and stabilization, uses an agile framework, and includes measuring outcomes and driving continued process improvement. This is a hybrid position requiring candidates to live within approximately 70 miles of the Allen, Texas office and work onsite once a week. An onsite interview or in-person onboarding may be required to verify identity.

Requirements

At least 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 involving 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 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 with business and technology stakeholders.

Nice To Haves

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 using 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 documenting 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.

Responsibilities

Create a strategy for prioritizing and developing technical automations aligned with corporate strategies, business needs, and technological scalability.
Engage representatives from business units to transform current-state process maps into future states ready for automation.
Produce process maps for global and enterprise interactions, connecting department-level processes within a joint enterprise process framework.
Determine which automation methods and controls best suit processes, including AI, IPA, OCR, RPA, machine learning, NLP, orchestration, and workflow tools.
Develop control processes for levels of autonomy, human-machine interaction, and feedback and feedforward.
Identify, design, and implement AI-enabled tools, processes, and workflows to improve operational efficiency, reduce manual effort, and support scalable outcomes.
Evaluate business processes for opportunities to use AI, machine learning, workflow automation, or emerging technologies to reduce repetitive work and improve accuracy.
Partner with business and technology teams to deploy AI-based solutions responsibly, with appropriate controls, testing, adoption support, and measurable productivity gains.
Monitor implemented AI and automation solutions, validate performance, optimize outcomes, and identify further process-improvement opportunities.
Build the technological enterprise process framework, including developing and configuring supporting technologies.
Develop standards for maintaining the integrity of the framework in business-as-usual operations.
Orchestrate complex processes across business units, platforms, and applications; develop and execute strategies for automated testing and safeguards.
Define qualitative and quantitative metrics, capture baseline data, conduct process automation analytics, and validate deployments against specifications, quality, and productivity goals.
Promote a culture of transformation and hyper-automation across the organization.
Perform other job duties as assigned.