Head of Semantic Layer & Analytics Engineering

Clayco; Chicago (IL); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Discretionary Annual Bonus

Comprehensive Benefits Package

Job summary

Clayco is building a data and AI organization with a central semantic layer. You will define what Clayco numbers mean, create governed models, and lead the analytics engineering team as it grows to eleven.

The role involves collaboration with data platform, AI product teams, and governance to ensure definitional consistency across finance,项目 controls, and job-site needs. The position requires experience building a semantic layer in Snowflake/dbt, knowledge of AEC contexts, and the ability to

Qualifications

• Built a semantic layer in Snowflake/dbt at scale with definitional consistency.
• Experience in construction/architecture/engineering contexts (AEC).
• Led analytics engineers, hiring, performance, and standards.
• Ability to reconcile finance and operations definitions and drive consensus.

Responsibilities

• Own Clayco's semantic layer, its definitions, models, approvals, versioning, and retirement.
• Build core conformed models: project, cost code, vendor, contract, schedule activity.
• Stand up domain models for finance, WIP, project controls, safety and risk.
• Hire and lead analytics engineering team and grow from 2 to 11.
• Manage retirement of legacy reporting onto governed models.
• Collaborate with data platform, AI products, and governance teams on layer boundaries.

Skills

Semantic layer

Snowflake/dbt

AEC domain knowledge

Analytics leadership

Stakeholder alignment

Tools

Procore

Job description

Clayco is building a data and AI organization with a central semantic layer. You will define what Clayco numbers mean, create governed models, and lead the analytics engineering team as it grows to eleven.

The role involves collaboration with data platform, AI product teams, and governance to ensure definitional consistency across finance,项目 controls, and job-site needs. The position requires experience building a semantic layer in Snowflake/dbt, knowledge of AEC contexts, and the ability to