Vice President of Data and AI (on-site)

Ziosk•Plano, TX

10d•Onsite

About The Position

Welcome to Ziosk, where we empower restaurants to focus on what matters most: the guest experience! Have you ever used a tablet to pay at a restaurant? We pioneered the pay-at-the-table concept, and we’re cooking up a plan to transform the restaurant industry. Our recipe for success is adapting and growing to exceed the needs of our clients—like Olive Garden, Texas Roadhouse, Chili’s, and more—helping them create an experience that keeps guests coming back. Today, we offer a full menu of solutions—from hardware and software to cloud-based products and AI tools—all focused on helping restaurants create the best guest experience possible while growing their bottom line. Our secret sauce? Our people! They're serving up never-been-done solutions every single day. That’s why we’re the leading pay-at-the-table provider—and only growing from here. Want a seat at our table? We’re seeking a strategic and hands-on VP of Data and AI to lead the development and execution of our AI and machine learning vision. In this key leadership role, you’ll guide high-impact projects from concept to implementation, ensuring they deliver measurable results across the business. You’ll manage and mentor a cross-functional team of data scientists, engineers, and AI specialists—fostering innovation, improving operational efficiency, and shaping the future of data-driven decision-making at Ziosk.

Requirements

Master’s degree in Data Science, AI, Computer Science, or a related field
8–10+ years of experience in AI/ML, including 5+ years in a leadership role
Proven success delivering scalable AI solutions and managing cross-functional teams
Strong technical skills in AI/ML frameworks, big data tools, and cloud platforms
Excellent communication and collaboration skills with both technical and non-technical stakeholders

Responsibilities

Shape AI Strategy – Lead our AI and machine learning roadmap to drive innovation and business impact.
Drive AI Projects – Oversee AI/ML initiatives from idea to implementation, ensuring they scale effectively and align with company goals.
Manage Data Systems – Ensure strong data governance and build reliable pipelines for collecting, storing, and processing high-quality data.
Partner Across Teams – Collaborate with departments across the business to identify opportunities and integrate AI solutions that add value.
Select the Right Tools – Choose and implement the best AI platforms and technologies, working closely with IT to support scalability.
Measure Success – Set clear KPIs for AI initiatives and continuously optimize model performance for accuracy and fairness.