Job Description
Job Description
Insight Global is looking for a Operations Product Manager to join a major fast food restaurant client as an individual contributor to be the middle man between the consumers and the companies development team.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
Skills and Requirements
○ Product Management Experience: 3-5+ years of Product Management experience, with a demonstrable history of shipping complex, high-impact data, B2B, or internal products.
○ Crucial Domain Expertise: Direct professional experience in Quick Service Restaurant (QSR) or Retail Operations.
○ Data-Product Fluency: Proven experience as a "power user" of modern BI tools (Power BI preferred).
○ Demonstrated "Backbone": Evidence of navigating and influencing senior technical stakeholders. You must have a history of successfully challenging technical assumptions to protect user value and MVP scope.
Exceptional Discovery Skills: A portfolio of work (e.g., journey maps, discovery plans, problem briefs) that proves you are an expert in problem definition, not just requirements gathering. Working knowledge of SQL for data analysis.
Familiarity with modern data stacks and concepts (e.g., Microsoft Azure, Fabric, DBT, Kimball modeling).
Experience working with data science teams to integrate models into user-facing products.
Experience bringing AI tools to market
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