Engineering Enablement & Analytics Lead (on-site)

Ziosk; Dallas (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Ziosk, located in Plano, TX, seeks an Engineering Enablement & Analytics Lead to drive organizational improvements through analytics and tooling. This pivotal role is responsible for enhancing performance metrics, fostering automation, and supporting cross-functional initiatives.

The successful candidate will have over 5 years of experience in program management as well as a strong understanding of AI applications within engineering workflows. Join us to transform the restaurant industry and elevate guest experiences.

Qualifications

• 5+ years of experience in program management or related fields.
• Strong management of software releases and coordination.
• Experience with AI agents in workflows.

Responsibilities

• Lead cross-functional engineering programs and design reviews.
• Evaluate and improve engineering workflows through AI and automation.
• Facilitate engineering planning processes and administer Jira.

Skills

Program Management

Technical Program Management

Release Management

AI automation

Software development coordination

Tools

Jira

Job description

Engineering Enablement & Analytics Lead (on-site) – Plano, TX

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 Engineering Enablement & Analytics Lead to help teams improve delivery predictability, developer productivity, release quality, and operational excellence through analytics, tooling, automation, and process improvements. The ideal candidate combines strong technical acumen, business insight, and a passion for enabling engineering teams to operate at scale. This role will partner closely with engineering leadership to establish meaningful performance metrics, drive continuous improvement initiatives, and identify opportunities to accelerate software delivery through AI‑enabled solutions and workflow optimization.

The Main Course – Responsibilities

• Lead cross‑functional engineering programs, release readiness activities, enhancement prioritization and design reviews.
• Support the transition and ongoing management of initiative planning, intake processes, and engineering capacity‑management responsibilities.
• Evaluate and improve engineering workflows, leveraging AI agents and automation to increase efficiency and reduce manual effort.
• Build, implement, and promote the use of AI‑powered agents to streamline engineering and operational processes.
• Define and maintain effective engineering frameworks, including developer productivity, delivery performance, quality, and operational health metrics.
• Facilitate engineering planning processes, including roadmap alignment, capacity planning, dependency management.
• Administer Jira, including workflows, fields, automation, dashboards, and reporting.

What You Bring To The Table – Qualifications

• 5+ years of Program Management, Technical Program Management, Release Management, or related experience within a software development organization.
• Strong experience managing software releases and coordinating cross‑functional initiatives.
• Demonstrated experience building, implementing, and using AI agents within daily workflows and business processes.
• Experience improving workflows, implementing automation, and driving operational efficiencies.