4-Year University Degree in Business, Computer Science, Information Systems, Engineering, or equivalent.
Minimum of 4 years of experience supporting AI/ML product management and delivery, including contributing to product roadmaps, feature prioritization, and end-to-end product lifecycle activities (planning, development, launch, iteration).
Demonstrated experience managing an AI product roadmap and backlog, including defining and prioritizing features, epics, and user stories using value, effort, and risk trade-offs.
Proven ability to contribute to AI product vision and strategy through discovery activities, synthesizing user/stakeholder feedback, and translating insights into actionable improvements.
Strong capability facilitating communication between technical teams and business stakeholders, ensuring alignment on goals, scope, dependencies, risks, and delivery progress.
Experience supporting end-to-end product lifecycle activities, including planning, development coordination, launch readiness, release management, and post-launch iteration.
Experience establishing, monitoring, and reporting product and model performance KPIs/metrics to evaluate outcomes and inform prioritization and roadmap decisions.
Experience working in Agile environments, facilitating or supporting sprint planning, reviews, and retrospectives, and driving continuous improvement in delivery processes and outputs.
Working knowledge of AI delivery practices and MLOps concepts (model development, deployment, monitoring), including partnering with technical leads on operational maturity initiatives and conducting feasibility/data-quality assessments for AI/ML solutions.