Job Summary
The Cortex Product Owner will define and prioritize an enterprise predictive AI platform spanning the model-development lifecycle. The role will drive secure self-service, automation, governance, migration, adoption, and measurable value across GCP-based AI and data services while coordinating technical and business stakeholders.
Key Responsibilities
• Define the product vision, roadmap, backlog, and service catalogue for the Cortex AI platform.
• Own self-service experiences across data preparation, experimentation, training, deployment, and monitoring.
• Prioritize capabilities across Vertex AI, BigQuery, GKE, AutoML, and workflow services.
• Establish MLOps and model-development lifecycle standards.
• Integrate security, data protection, model governance, compliance, and risk controls.
• Drive workload onboarding and migration from legacy or fragmented AI environments.
• Define platform adoption, reliability, productivity, governance, and value metrics.
• Coordinate data, cloud, platform, security, risk, architecture, and business stakeholders.
• Manage product releases, feedback, dependency resolution, and continuous improvement.
Required Qualifications
• 8-12 years of relevant professional experience.
• Strong experience in technical product management for cloud AI/ML platforms.
• Hands-on understanding of GCP AI and data services.
• Strong knowledge of Vertex AI, BigQuery, GKE, AutoML, and workflow orchestration.
• Strong understanding of MLOps and the end-to-end model-development lifecycle.
• Experience with secure self-service platform design.
• Understanding of model governance, security, and risk controls.
• Experience managing roadmaps, backlogs, releases, migrations, and platform adoption.
• Strong senior stakeholder leadership and executive communication skills.
• Must be located in Charlotte, NC or the California Bay Area.
Preferred Qualifications
• Degree in engineering, computer science, data science, or a related field.
• GCP Professional Machine Learning Engineer, Cloud Architect, or equivalent certification.
• Experience managing an enterprise predictive AI or data-science platform.
