Mid-Level Product Specialist

Responsibilities

• Work with Analytics Engagement and Business leads to gather and document business challenges, objectives, and success criteria
• Analyze stakeholder input and data to help define the scope and expected outcomes of AI/analytics initiatives
• Support and help organize discovery and execution workshops to define 6–12-week POC scopes, key insights, required actions, and value propositions
• Assist in defining team roles, responsibilities, timelines, and deliverables; help maintain team alignment and clear communication
• Create and maintain product artifacts: project charters, roadmaps, user stories, acceptance criteria, and Azure Development Operations (Dev Ops) (or equivalent) tickets
• Coordinate sprint activities with engineering and analytics teams; support sprint planning, demo preparation, and incremental feature delivery
• Prepare and present concise stakeholder updates (progress, demos, risks, next steps) on a regular cadence
• Translate technical analytics and model outputs into business-friendly summaries and recommendations
• Track POC/feature success against defined metrics and help produce concise outcome reports that quantify expected or realized business value
• Support adoption activities: develop demo materials, playbooks, and training for business users; collect user feedback for iteration

• 4+ years of experience in business analysis, product support, analytics, and/or related roles
• 2+ years of experience supporting product work related to data, analytics, or AI/ML (scoping POCs, writing requirements, & coordinating delivery)
• Experience working with supply chain, manufacturing, and/or logistics stakeholders
• Experience producing business and functional requirements, user stories, and acceptance criteria
• Experience with SQL skills and familiarity with data concepts (ETL, data models, & data quality)
• Experience creating stakeholder-facing materials and delivering demos