Senior Data Modeler for Enterprise Analytics & AI

Teradata; Lansing (MI); Hybrid; USD 102,000 - 153,000; Full time

Benefits offered by this job

Flexible work model

Health benefits

401(k) retirement plan

Time-off programs

Job summary

Teradata seeks a Senior Data Modeler to lead enterprise‑scale data modeling across domains, translating complex business needs into scalable data models for analytics, AI, and knowledge platforms. You will collaborate with engineering, governance, and AI teams to enforce standards and ensure data is organized for interoperability and governance.

The role emphasizes architecture leadership, cross‑functional collaboration, and driving data‑driven initiatives within Teradata Context Engine and data

Qualifications

• 8+ years of data modeling, information architecture, or enterprise data architecture.

Responsibilities

• Design and maintain enterprise data models (conceptual, logical, physical).
• Create scalable models for transactional, analytics, and AI workloads.
• Develop canonical data models and semantic layers for enterprise-wide understanding.
• Standardize entities, relationships, taxonomies, and business definitions.
• Enforce data modeling best practices and architecture standards.
• Collaborate with data engineers to implement various modeling approaches.
• Mentor junior modelers and lead architecture reviews.

Skills

Bachelor's/Master's in CS/IS

8+ years data modeling

SQL proficiency

Cloud data platforms

Enterprise data architecture

Communication & stakeholder alignment

Education

Bachelor's or Master's in Computer Science / Information Systems / Data Management

Tools

Erwin

ER/Studio

Collibra

Informatica

Microsoft Purview

Job description

Teradata seeks a Senior Data Modeler to lead enterprise‑scale data modeling across domains, translating complex business needs into scalable data models for analytics, AI, and knowledge platforms. You will collaborate with engineering, governance, and AI teams to enforce standards and ensure data is organized for interoperability and governance.

The role emphasizes architecture leadership, cross‑functional collaboration, and driving data‑driven initiatives within Teradata Context Engine and data