Global AI Platform Leader - Enterprise Product Strategy

Teradata Corporation (SE); Baton Rouge (LA); Hybrid; USD 263,000 - 395,000; Full time

Benefits offered by this job

Health benefits

Job summary

Teradata is seeking an AI Platform Product Management Leader to shape the strategy and execution for Teradata’s AI platform capabilities, including VantageCloud Lake, Open ecosystem integrations, and governance. You will lead a global team of product managers and partner with engineering, data science, cloud, and security to translate market needs into scalable product outcomes.

You will define platform capabilities, enable tests and deployments across AI/ML lifecycles, and create compelling

Qualifications

• Experience leading enterprise AI or data platform product strategy.
• Track record of scaling platform products and driving adoption.
• Deep knowledge of ModelOps, LLMOps, and governance.
• Experience with cloud data platforms, data lakes, and open formats.
• Strong ability to translate tech into business value.

Responsibilities

• Own and champion product vision and roadmap for AI platform portfolio.
• Define platform capabilities for AI/ML lifecycle and governance.
• Collaborate with engineering, data science, security and GTM teams.
• Lead global team of product managers.
• Engage customers and executives to identify use cases and opportunities.
• Drive interoperability with Python, Jupyter, open formats.

Skills

AI product management

Global team leadership

Roadmap strategy

Stakeholder mgmt

Cloud platforms

Education

Advanced degree in CS/Eng/Data Science

Tools

Python

Jupyter

APIs

Cloud platforms

Job description

Teradata is seeking an AI Platform Product Management Leader to shape the strategy and execution for Teradata’s AI platform capabilities, including VantageCloud Lake, Open ecosystem integrations, and governance. You will lead a global team of product managers and partner with engineering, data science, cloud, and security to translate market needs into scalable product outcomes.

You will define platform capabilities, enable tests and deployments across AI/ML lifecycles, and create compelling