Director, Data & AI Delivery

Burns & McDonnell

Houston (TX)

On-site

USD 180,000 - 280,000

Full time

10 days ago

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

Burns & McDonnell is seeking an experienced data/AI leader to build and operate shared, scalable data and AI capabilities. You will consolidate Azure, AWS, GCP, Palantir, and Databricks into a single delivery system, drive standards, and own the engineering playbook and AI governance across the enterprise.

You will lead talent development, partner with IT for enterprise platforms, and ensure production-grade delivery aligned to business priorities.

Qualifications

  • Bachelor’s degree in computer science, engineering, or related field and 15+ years of hands-on data/AI leadership experience.
  • Experience leading enterprise-scale data engineering teams and multiple delivery streams.
  • Deep knowledge of modern cloud data architectures and CI/CD practices.
  • Hands-on experience with Azure, AWS, GCP, Palantir Foundry/AIP, and Databricks in enterprise settings.
  • Strong stakeholder leadership and ability to deliver measurable business impact.

Responsibilities

  • Lead the Data & AI organization, oversee data engineering, analytics engineering, AI/ML, and platform support.
  • Attract, hire, and retain top data/AI talent; build career paths and mentorship.
  • Unify geographically distributed teams around common standards and governance.
  • Own the delivery roadmap, consolidate platforms, and ensure funded run models for all products.
  • Define engineering playbooks, training, and enterprise ontology for AI governance.

Skills

Data engineering
AI/ML engineering
Cloud platforms
Leadership
Governance
Stakeholder management
Platform consolidation
Talent development

Education

Bachelor’s degree in computer science or engineering

Tools

Azure
AWS
GCP
Palantir Foundry/AIP
Databricks

Job description

Burns & McDonnell is seeking an experienced data/AI leader to build and operate shared, scalable data and AI capabilities. You will consolidate Azure, AWS, GCP, Palantir, and Databricks into a single delivery system, drive standards, and own the engineering playbook and AI governance across the enterprise.

You will lead talent development, partner with IT for enterprise platforms, and ensure production-grade delivery aligned to business priorities.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Director, Data & AI Delivery
Director, Data & AI Delivery

Burns & McDonnell • Kansas City (MO)

On-site
USD 250,000 - 320,000
Data & AI Delivery Director
Data & AI Delivery Director

Burns & McDonnell • Dallas (TX)

On-site
USD 180,000 - 280,000
Head of Data & AI Operating Model & Strategy
Head of Data & AI Operating Model & Strategy

Burns & McDonnell • Dallas (TX)

On-site
USD 180,000 - 240,000
Head of Data & AI Strategy & Operating Model
Head of Data & AI Strategy & Operating Model

Burns & McDonnell • Houston (TX)

On-site
USD 180,000 - 280,000
Department Manager, Data Engineering & AI
Department Manager, Data Engineering & AI

Burns & McDonnell • Houston (TX)

On-site
USD 180,000 - 280,000
Department Manager, Data Engineering & AI
Department Manager, Data Engineering & AI

Burns & McDonnell • Dallas (TX)

On-site
USD 180,000 - 280,000
Lead Data Engineer - Multi-Cloud (GCP/Azure Databricks)
Lead Data Engineer - Multi-Cloud (GCP/Azure Databricks)

Burns & McDonnell • Kansas City (MO)

On-site
USD 140,000 - 200,000
Enterprise AI & Data Engineering Lead
Enterprise AI & Data Engineering Lead

eNGINE • Pittsburgh

On-site
USD 150,000 - 190,000
AI-Driven Data Engineering Director
AI-Driven Data Engineering Director

West Monroe (Campus) • Los Angeles (CA)

Hybrid
USD 200,000 - 250,000
Unlimited flexible time off
Ten paid holidays
401k plan
+2
AI & Data Engineering Leader — Enterprise Platform & Azure
AI & Data Engineering Leader — Enterprise Platform & Azure

Pittsburgh Tomorrow • Pittsburgh

On-site
USD 170,000 - 230,000