Lead Architect, Knowledge & Context for AI

Teradata

Salem (OR)

Hybrid

USD 196,000 - 293,000

Full time

3 days ago

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Benefits offered by this job

Flexible work model

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Job summary

Teradata, a leader in enterprise intelligence, seeks a Senior Manager of Knowledge & Context Architecture to shape data foundations for AI. You will guide architectural strategy across the Americas, run hands-on design sessions, and mentor teams to deliver scalable knowledge contexts for AI agents.

You will integrate data modelling, metadata management, and modern AI architectures to produce trusted context for enterprise analytics.

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, including dimensional, normalised or domain-oriented modelling approaches.
Strong practical SQL skills and confidence working directly with customer data when required.
Experience with metadata management, data catalogues, lineage, data quality or governance.
Experience designing modern data architectures spanning data warehouses, lakehouses, object storage or cloud data platforms.
Understanding of data-product concepts and how reusable, governed data assets support both human and AI consumers.
A practical understanding of modern AI architecture, which may include large language models, retrieval-augmented generation, vector search, knowledge graphs or AI agents.
Experience with semantic modelling, ontologies or knowledge representation, or the ability to apply existing data-modelling expertise to these areas.
Experience translating business requirements into clear architecture and technology decisions.
The ability to explain complex topics clearly to technical, business and executive audiences.
Experience mentoring, coaching or leading technical professionals.

Responsibilities

Lead Knowledge & Context Architecture activities across the Americas, working directly with strategic customers, prospects and Teradata account teams.
Act as a hands-on senior architect, leading discovery, workshops, design sessions and technical engagements.
Help customers strengthen the data foundations needed for AI, including data models, metadata, semantics, lineage, quality, governance and reusable data products.
Design architectures that bring together structured and unstructured data, metadata, business meaning and operational knowledge to provide trusted context for AI applications and agents.
Apply data architecture and modelling skills to turn business concepts, relationships, definitions and rules into usable enterprise knowledge.
Develop practical approaches for capturing and curating context, including semantic models, ontologies, industry models, metadata and AI-native data products.
Help customers assess whether context supplied to AI systems is complete, accurate, current and trustworthy.
Lead Context Engine and Knowledge Architecture workshops, deep dives and strategic proofs of concept with Americas customers.
Turn patterns from customer work into reusable architecture assets, methods, accelerators and guidance that can be used globally.
Work with the Americas field organisation to identify opportunities where Knowledge & Context Architecture can create customer value and support demand creation.
Coach architects and technical practitioners across the Americas, helping build deeper skills in data, knowledge, context and AI architecture.
Bring field evidence and customer feedback to Product Management and Engineering to help shape the Context Engine and broader platform direction.