Data Product Owner (on-site)

Data Product Owner (On-site) - Plano, TX

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 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 and AI driven products, all focused on helping them create the best guest experience possible to grow their bottom line.

Our secret sauce?

Our people! Every day, they’re cooking up bold solutions, making Ziosk the leading pay-at-the-table provider in the industry.

Want a seat at our table?

Ziosk is looking for a highly experienced

Data Product Owner

to join our

Enterprise Data

department. The Enterprise Data POD ships data products to internal teams, brand partners, and Ziosk’s broader product organization — brand reporting portals, Dash analytics applications, AI products like the IPL Ad Optimizer, and the data foundation that powers everything else. We need a Data Product Owner to own the roadmap, prioritization, and outcomes for this product surface.

The Main Course – Responsibilities

• Own the Enterprise Data POD product roadmap — quarterly priorities, the prioritized backlog, and sprint-level commitments.
• Define and track the Data POD’s two outcome KPIs: Brand Onboarding Velocity and Decision Time to Insight; partner with leadership to set baselines and targets.
• Run backlog refinement, sprint planning, and stakeholder reviews on a regular cadence; keep the team aligned on what’s next and why.
• Translate brand partner needs, internal Sales/CS requirements, and executive priorities into clear product requirements with acceptance criteria.
• Make trade-off decisions and communicate them clearly: what we’re building, what we’re not, why now, what’s next, and what’s blocked.
• Route all ad-hoc data and reporting requests through a prioritized intake — replacing the standalone BI Analyst function and keeping engineers focused on roadmap work.
• Partner with Marketing, Sales, and CS teams to position data products externally — brand-facing demos, Mid-Market analytics pitches, and customer enablement.

What You Bring To The Table – Qualifications

Required

• 5\+ years of product management experience, with at least 3 years owning data, analytics, BI, or ML products.
• Demonstrated experience setting and tracking product KPIs that the team is actually measured on — not vanity metrics.
• Strong data fluency: comfortable reading SQL, understanding pipeline architecture at a high level, and discussing trade-offs with engineers.
• Experience running an agile backlog (Scrum, Kanban, or hybrid) and using prioritization frameworks such as RICE or weighted shortest job first.
• Strong stakeholder management — comfortable saying “no” or “not now” to executives and brand partners while maintaining the relationship.
• Excellent written communication; able to write PRDs, status updates, decision logs, and executive briefs.

Preferred

• Experience as a Product Owner in a POD, squad, or cross-functional team model — especially launching a POD from scratch.
• Background in restaurant technology, retail technology, hospitality, or an industry with brand-partner / franchise dynamics.
• Familiarity with Databricks, Looker, Tableau, Power BI, Dash, or modern analytics stacks.
• Familiarity with AI products and the unique challenges of owning them — evals, model risk, and slow feedback loops.
• Bachelor’s degree in Business, Engineering, Computer Science, Analytics, or equivalent practical experience.

Ziosk

*is an Equal Opportunity employer offering competitive benefits and compensation. Candidates must be eligible to work in the U.S. and be able to commute daily to Plano, TX.

No agencies or third-party recruiters, please

.*