Head of Knowledge & Context Architecture for AI

Teradata

Dover (DE)

On-site

USD 196,000 - 293,000

Full time

3 days ago
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Benefits offered by this job

Health care
401(k) retirement plan
Time-off programs

Job summary

Teradata is seeking a Senior Manager of Knowledge & Context Architecture to lead architecture activities across the Americas, collaborating with strategic customers and Teradata teams. You will blend data architecture, modelling, and AI context knowledge to create trusted foundations for enterprise AI initiatives.

The role combines hands-on architecture work with leadership, mentoring, and shaping the platform direction to enable scalable AI-driven outcomes across customers and industries.

Qualifications

  • Significant hands-on experience in data architecture, data modelling, data engineering or enterprise data management across complex environments.
  • Practical knowledge of relational data architecture and modelling approaches.
  • Strong SQL skills and ability to work directly with customer data.

Responsibilities

  • Lead Knowledge & Context Architecture activities across the Americas with strategic customers and account teams.
  • Act as a hands-on senior architect, leading discovery, workshops and design sessions.
  • Help customers strengthen data foundations including data models, metadata, lineage, quality and governance.
  • Design architectures that combine structured, unstructured data and metadata to provide trusted context for AI.

Skills

Data architecture
Data modelling
SQL skills
Metadata management
Knowledge representation

Education

Degree in Computer Science, Software Engineering, Data Science

Tools

Python
Graph technologies

Job description

Teradata is seeking a Senior Manager of Knowledge & Context Architecture to lead architecture activities across the Americas, collaborating with strategic customers and Teradata teams. You will blend data architecture, modelling, and AI context knowledge to create trusted foundations for enterprise AI initiatives.

The role combines hands-on architecture work with leadership, mentoring, and shaping the platform direction to enable scalable AI-driven outcomes across customers and industries.

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