Enterprise Data & AI Platform Lead

Black & Veatch

Overland Park (KS)

Hybrid

USD 180,000 - 280,000

Full time

1 hour ago
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Benefits offered by this job

100% ESOP ownership
Flexible work options
Comprehensive benefits
401k with company match
Professional development

Job summary

Black & Veatch is seeking a Director to lead Data Engineering & AI Platforms, overseeing enterprise data platforms to deliver secure, scalable, and value-driven solutions. The role partners with executive stakeholders to set strategy and investment priorities across architecture, cybersecurity, and GenAI enablement.

You will lead a 20–25 person team of data engineers, platform engineers, and AI specialists, driving governance, standards, and responsible AI practices while ensuring platform

Qualifications

  • 15+ years in data engineering or enterprise tech.
  • 10+ years leading technical teams and partners.
  • Proven ownership of enterprise data platforms.
  • Experience with Azure data services and AI tooling.

Responsibilities

  • Own enterprise‑wide accountability for all data and AI platforms' performance and value.
  • Set platform strategy and roadmap aligned to priorities.
  • Lead a 20–25 person team across data/AI platform delivery.
  • Establish platform ownership and operating model across services.
  • Own end‑to‑end lifecycle from design to retirement.
  • Enforce enterprise data & AI engineering standards.
  • Deliver reusable enterprise‑grade services for ingestion, transformation, storage, model lifecycle.

Skills

Leadership
Data architecture
Cloud platforms
AI/GenAI enablement
Stakeholder mgmt

Education

Bachelor's degree in CS/Engineering/Analytics

Tools

Azure data services
Microsoft Fabric
Azure AI Foundry

Job description

Black & Veatch is seeking a Director to lead Data Engineering & AI Platforms, overseeing enterprise data platforms to deliver secure, scalable, and value-driven solutions. The role partners with executive stakeholders to set strategy and investment priorities across architecture, cybersecurity, and GenAI enablement.

You will lead a 20–25 person team of data engineers, platform engineers, and AI specialists, driving governance, standards, and responsible AI practices while ensuring platform

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