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# Restaurant Innovation Product Owner

- **Company:** McLane, Inc.
- **Location:** Carrollton, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Database Applications, Machine Learning, Scrum Methodology, Software Product Management, Large Language Models, Snowflake, Data Strategy, Data Lakes, Information Technology, Data Management, Virtual Agents, Databricks
- **Published:** September 3, 2026
- **Apply:** https://www.themuse.com/jobs/mclane/restaurant-innovation-product-owner

## About the Role

* Bachelor's degree required (Business, Computer Science, Data Science, Engineering, or related field preferred)
 * 10+ years of product management experience, including at least 2 years focused on AI/ML products, data platforms, or analytics solutions
 * Strong understanding of AI/ML concepts, including data lakes, large language models (LLMs), and agentic AI architectures
 * Experience working with enterprise platforms such as Palantir, Databricks, Snowflake, or similar technologies
 * Proven ability to operate effectively in a matrixed organization and influence without direct authority
 * Strong cross-functional collaboration skills with experience partnering across business, engineering, and data teams
 * Excellent communication skills with strong executive presence
 * Demonstrated ability to translate complex business needs into scalable technical solutions
 * This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.

Candidates may be subject to a background check and drug screen, in accordance with applicable laws.

## Description

* Define and manage the AI product roadmap, prioritizing initiatives such as Customer Order Quality Scoring and other data-driven applications built on data lakes and AI models
 * Lead platform initiatives, including the Artemis Program, to drive AI adoption and integration across business units
Partner with Restaurant division leaders to identify opportunities for AI, expand use cases, and guide development of AI agents and automation workflows

 * Translate business needs into clear technical requirements for engineering and data science teams
 * Own product execution including backlog management, sprint planning, and delivery milestones
 * Drive stakeholder alignment across a shared-services environment, influencing priorities without direct authority
 * Evangelize AI capabilities across the organization through demos, training sessions, and ongoing engagement
 * Ensure solutions align with enterprise platforms and data strategies to maximize scalability and impact


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