Senior Knowledge & Context Architect Lead

Teradata

Madison (WI)

Hybrid

USD 196,000 - 293,000

Full time

3 days ago

Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Teradata seeks a Senior Manager, Knowledge & Context Architecture to lead architecture across the Americas, shaping foundations for AI and analytics. You will be a hands-on leader guiding discovery, workshops and technical engagements with strategic customers and account teams.

You will fuse data architecture, modelling, metadata, semantics and AI-native data products to create trusted context for AI applications, while mentoring architects and turning customer patterns into reusable assets for

Qualifications

Extensive hands-on experience in data architecture, modelling, engineering or EDM across complex environments.
Practical knowledge of relational data architecture and various modelling approaches.
Strong SQL skills and ability to work directly with customer data.
Experience with metadata management, data catalogues, lineage, quality or governance.
Experience designing architectures across data warehouses, lakehouses, object storage or cloud platforms.
Understanding data-product concepts and reusable data assets for humans and AI.
Practical understanding of modern AI architecture including LLMs and vector tech.
Experience with semantic modelling, ontologies or knowledge representation.
Ability to translate business requirements into architecture and technology decisions.
Clear communication to technical, business and executive audiences.
Experience mentoring or leading technical professionals.

Responsibilities

Lead Knowledge & Context Architecture activities across the Americas with strategic customers and teams.
Act as hands-on senior architect, leading discovery, workshops and design sessions.
Help customers strengthen data foundations: models, metadata, lineage, quality and governance.
Design architectures that combine structured/unstructured data, metadata, meaning and knowledge for AI.
Turn business concepts into usable enterprise knowledge and decisions.
Develop approaches for capturing and curating context, including semantic models and ontologies.
Assess context supplied to AI systems for completeness and trustworthiness.
Lead architecture workshops, deep dives and proofs of concept with Americas customers.
Create reusable architecture assets and guidance from customer work for global use.
Identify opportunities where Knowledge & Context Architecture can create customer value.