About The Position

Welcome to Ziosk, where we’re helping restaurants focus on what matters most: their guests! Have you ever used a tablet to pay at a restaurant? We are the OGs for the pay-at-the-table concept and we’re cooking up a plan to transform the restaurant industry. Our recipe for success has been adapting and growing to exceed the needs of our clients, such as Olive Garden, Texas Roadhouse, Chili’s and more – helping them create an experience that keeps guests coming back. Today we have a full menu of solutions, from hardware to software to cloud-based products, all focused on helping them create the best guest experience possible to grow their bottom line. Our secret sauce? Our people! They’re ordering up never-been-done solutions every single day and they’re the reason why we’re the leading pay-at-the-table provider and only growing from there. Want a seat at our table? We are seeking an Automation Process Improvement Lead to transform engineering workflows, drive AI‑powered automation, develop engineering dashboards, and improve operational visibility across our engineering organization. This role owns the Jira platform, partners with Azure DevOps and GitHub stakeholders, and delivers automation and analytics solutions that enhance engineering productivity and performance.

Requirements

  • 5+ years project/program management in engineering or technology.
  • Expert‑level Jira Administration experience.
  • Advanced Power BI and data analytics skills (DAX, modeling, trend analysis).
  • Strong SDLC and Agile methodology knowledge.
  • Hands‑on experience developing AI Agents and workflow automation.
  • Extensive experience with Power Automate and Power Apps.
  • Experience with Azure DevOps and GitHub.
  • Strong communication and stakeholder management skills.

Responsibilities

  • Lead workflow automation initiatives using Power Automate, Power Apps, and AI agents.
  • Own Jira administration, including workflows, automation, integrations, permissions, and governance.
  • Build Power BI dashboards for engineering metrics, SDLC performance, and operational insights.
  • Perform data analytics, modeling, and metric standardization across engineering tools.
  • Partner with ADO/GitHub owners to align workflows and reporting.
  • Improve SDLC and Agile processes; support planning, sprint execution, and release readiness.
  • Drive cross‑team engineering initiatives and provide executive‑ready insights.
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