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C2C Hiring for Cortex Generic Product Owner – Enterprise AI/ML

Cortex Generic Product Owner – Enterprise AI/ML Platform
Location:** Charlotte, North Carolina

Job Summary

We are seeking an experienced **AI/ML Product Owner / Technical
Product Manager** to define and prioritize an enterprise predictive AI
platform across the complete model-development lifecycle.

This role will focus on building a secure, scalable, self-service
AI/ML platform that enables automation, governance, adoption,
migration, and measurable business value.

## Key Responsibilities

* Own the product vision, roadmap, and priorities for the enterprise
AI/ML platform.
* Define platform capabilities across the model-development lifecycle.
* Partner with data scientists, ML engineers, developers,
infrastructure teams, and business stakeholders.
* Drive secure self-service capabilities for AI/ML teams.
* Define requirements for **GCP AI/ML services and Vertex AI**.
* Work with teams leveraging **BigQuery, GKE, data services, and
workflow services**.
* Support MLOps and Model Development Lifecycle (MDLC) capabilities. * Define requirements for automation and AutoML capabilities. * Establish model governance, security, compliance, and risk controls. * Drive platform adoption and migration strategies.
* Define KPIs and measurable business outcomes.
* Manage backlog, prioritization, roadmap, dependencies, and releases.
* Present product strategy, progress, risks, and outcomes to senior leadership.

## Required Skills

* AI/ML Product Management
* Product Ownership
* Predictive AI
* GCP
* Vertex AI
* BigQuery
* GKE / Kubernetes
* MLOps
* Model Development Lifecycle (MDLC)
* AutoML
* AI/ML Platform Architecture
* Model Governance
* Security & Risk Controls
* Product Roadmaps
* Backlog Management
* Stakeholder Leadership

## Preferred Background

* Experience managing enterprise AI/ML platforms.
* Strong understanding of the ML lifecycle from data preparation
through model deployment and monitoring.
* Hands-on knowledge of GCP AI/ML ecosystem.
* Experience with Vertex AI, BigQuery, GKE, and MLOps.
* Experience in financial services or other regulated environments is
highly desirable.
* Strong ability to communicate technical AI concepts to business and
executive stakeholders.

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