Senior Manager, Knowledge & Context for AI

Teradata; Olympia (WA); On-site; USD 196,000 - 293,000; Full time

Benefits offered by this job

Flexible work model

Health care

Retirement plan (401k)

Time off

Job summary

Teradata seeks a Senior Manager to lead Knowledge & Context Architecture across the Americas. You will shape architecture strategy for AI-enabled analytics, supervise hands-on engagements, and guide teams to design trusted foundations for enterprise knowledge and AI-context.

You will collaborate with product and engineering, and mentor engineers to build scalable knowledge architectures. You will drive customer engagements, oversee semantic models and ontologies, and help turn business concepts

Qualifications

• Significant hands-on experience in data architecture, modelling, engineering or enterprise data management.
• Practical knowledge of relational data modelling approaches (dimensional, normalised, domain-oriented).
• Strong SQL skills and comfort working with customer data.

Responsibilities

• Lead Knowledge & Context Architecture activities across the Americas with strategic customers and account teams.
• Act as hands-on senior architect on discovery, workshops, design sessions and engagements.
• Help customers strengthen data foundations: models, metadata, lineage, quality and data products.

Skills

Data architecture

Data modelling

Data engineering

SQL

Metadata management

AI architecture

Knowledge representation

Business requirements translation

Stakeholder communication

Mentoring

Education

Degree in Computer Science/Software Engineering/Data Science

Tools

Python

Graph technologies

Knowledge graphs

AI tooling

Cloud platforms (AWS/Azure/GCP)

Job description

Teradata seeks a Senior Manager to lead Knowledge & Context Architecture across the Americas. You will shape architecture strategy for AI-enabled analytics, supervise hands-on engagements, and guide teams to design trusted foundations for enterprise knowledge and AI-context.

You will collaborate with product and engineering, and mentor engineers to build scalable knowledge architectures. You will drive customer engagements, oversee semantic models and ontologies, and help turn business concepts