TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years.
TECHNOGEN is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD & Offshore development centers in India. We have successfully executed 100+ projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies.
Hi,
Greetings of the day!
We are looking to Hire a Talented Professional for the below Job opportunity with one of our clients,
If you're interested, please share your updated resume at your earliest convenience, and I'll be happy to provide more details about the role.
Position: Cortex Product Owner
Location: Charlotte, NC || California Bay Area
Duration: Long Term
Must be located in Charlotte, NC or in the California Bay Area
Job Description:
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 Google Cloud Platform-based AI and data services.
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 Skills
Technical product management for cloud AI/ML platforms.
Google Cloud Platform AI and data services.
Vertex AI, BigQuery, GKE, AutoML, and workflow orchestration.
MLOps and end-to-end model-development lifecycle.
Secure self-service platform design.
Model governance, security, and risk controls.
Roadmap, backlog, release, migration, and adoption management.
Senior stakeholder leadership and executive communication.
Preferred Qualifications
Degree in engineering, computer science, data science, or a related field.
Google Cloud Platform Professional Machine Learning Engineer, Cloud Architect, or equivalent certification.
Experience managing an enterprise predictive AI or data-science platform.
Ranjitha P | Sr. IT Recruiter
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