Governance Technology Engineer

Our Company

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach.

Teradata delivers real business value with AI.

What You’ll Do

Teradata is building an enterprise AI program ude Enterprise and Microsoft Copilot are in active deployment across the company — and as Customer Zero for our own products, we run the Teradata Autonomous Knowledge Platform and AI Studio internally, proving the platform on ourselves before it reaches customers. The infrastructure that governs how all of these tools operate — intake pipelines, compliance monitoring, adoption analytics, and the agentic workflows that automate governance itself — needs to be engineered, not just managed.

As Senior Manager, AI Governance Technology (IC), you are Teradata's recognized internal expert on enterprise AI governance infrastructure. That means owning the technical architecture, driving the most complex engineering decisions, and setting the standards and specifications that others build against — not just executing tasks, but defining how the work gets done. You are the go‑to person for governance technology across the company, working with significant autonomy and guiding less experienced colleagues through the hardest problems.

Done right, governance is invisible to the people it protects — intake that feels like a product, approvals that move at the speed of the work, and tools that are safe by default. You will define the technical standards for that experience, anticipate internal and external business challenges before they surface, and recommend process and product improvements that shape how the entire function operates.

AI governance architecture & technical leadership:

• Own the end-to-end technical architecture of Teradata's AI Governance Operating System — defining the standards and specifications for intake pipelines, tool evaluation workflows, and compliance monitoring automation that the broader team builds against
• Lead the engineering of sophisticated agentic workflows (using n8n, Claude APIs, or similar) that automate governance at scale — solving the most complex design challenges in intake triage, policy enforcement, anomaly detection, and audit logging, and advising colleagues on implementation
• Architect and own the AI tool registry — defining the data model, integration strategy, and automation logic that keeps it authoritative across all tools, and serving as the technical resource for anyone extending it
• Design and deliver sophisticated real-time monitoring and alerting systems — anticipating vendor, regulatory, and business challenges before they become incidents, and recommending process and product improvements based on what the data surfaces
• Define the technical standards and specifications for all intake, provisioning, and approval flows — engineering experiences that employees move through in minutes, and guiding others in implementing against those standards

Platform expertise & enterprise integration

• Serve as one of the company's deepest technical resources on Claude Enterprise, Microsoft Copilot, and Teradata AI Studio — owning the most complex integration and extension work, and setting the specifications around which governance use cases are built
• Own the MCP server integration architecture — solving the most technically complex integration problems between the governance framework and the broader Teradata AI stack, and serving as the internal expert others consult
• Define the authoritative technical configuration standards for AI tool provisioning — ensuring access controls, data handling requirements, and usage policies are enforced at the platform level across all tools, and advising on the most complex or ambiguous cases
• Lead technical evaluation of new AI tools — applying in-depth knowledge to assess tools against governance criteria,…