Director of Data Engineering & AI Platforms

Together, we own our company, our future, and our shared success.

As an employee-owned company, our people are Black & Veatch. We put them at the center of everything we do and empower them to grow, explore new possibilities and use their diverse talents and perspectives to solve humanity's biggest challenges in an ever-evolving world. With over 100 years of innovation in sustainable infrastructure and our expertise in engineering, procurement, consulting and construction, together we are building a world of difference.

Company : B&V Special Projects Corp.

Req  : 116702

Opportunity Type : Staff

Relocation eligible : Yes

Full time/Part time : Full-Time

Project Only Hire : No

Visa Sponsorship Available: No

Why Black & Veatch?

At Black & Veatch, you'll be part of work that matters-designing, creating, and building the infrastructure communities rely on every day, from concept through execution.

We care about how the work gets done as much as what we build. Safety is built into every decision, and people look out for each other-speaking up, collaborating, and doing the right thing because it affects real lives.

You'll work alongside teams solving complex challenges and turning ideas into solutions that perform in the real world-gaining hands-on experience across projects, technologies, and disciplines.

Ownership shows up in how we work. We take responsibility for outcomes, follow through on commitments, and take pride in what we deliver. As a 100% employee-owned company, employees share in the long-term success we build together.

With flexible ways of working and meaningful development opportunities, you'll build a career you can be proud to stand behind.


The Opportunity


The Digital & Information Technology organization is advancing enterprise data and AI foundations to enable scalable analytics, automation, and intelligent applications. This Director sets the vision, strategy, and operating model for enterprise Data Engineering & AI Platforms. This role has enterprise accountability for all data and AI platforms-including strategy, delivery, operations, governance, and performance. The Director leads an organization of 20-25 engineers and architects and is responsible for ensuring these platforms are secure, reliable, scalable, and delivering measurable business value across the enterprise.

This leader partners with executive stakeholders to prioritize investment, shape enterprise data & AI architecture, and accelerate AI-enabled outcomes, while enforcing strong governance, responsible AI practices, and platform standardization.


Key Responsibilities

• Own enterprise-wide accountability for all data and AI platforms, including performance, reliability, scalability, cost, and business value realization.
• Set and drive the enterprise platform strategy and roadmap aligned to business priorities, architecture, cybersecurity, and AI/GenAI enablement.
• Lead and scale a high-performing organization (20-25 professionals) across data engineering, platform engineering, and AI platform delivery.
• Establish clear platform ownership and operating model, ensuring consistency, accountability, and transparency across all platform services.
• Own end-to-end lifecycle management-from platform design and build to operations, optimization, and retirement.
• Establish and enforce enterprise data & AI engineering standards
• Drive platform product mindset, delivering reusable, enterprise-grade services for data ingestion, transformation, orchestration, storage, and model lifecycle management.
• Partner with Architecture, Cybersecurity, Infrastructure, and business leaders to align on platform direction and investment priorities.
• Lead financial accountability, including budget ownership, cost optimization, and vendor/MSP performance management.
• Ensure enterprise governance, security, and Responsible AI controls are embedded across all data and AI platforms.
• Drive innovation across analytics, machine learning, generative AI, and agentic AI, enabling next-generation digital capabilities.
• Build a culture of ownership, accountability, and engineering excellence, including hiring, coaching, and succession planning.

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Engineering, Analytics, or related field; or equivalent relevant experience.
• 15+ years of progressive experience in data engineering, cloud platforms, analytics platforms, AI/ML platforms, or related enterprise technology disciplines.
• 10+ years of leadership experience managing technical teams, external partners, or complex delivery organizations.
• Proven track record of owning enterprise platforms with full accountability for outcomes.
• Demonstrated leadership in enterprise data platform strategy, cloud engineering, and AI enablement in a complex, matrixed environment.
• Deep experience with Azure data services, Microsoft Fabric, Azure AI Foundry, and model lifecycle management.
• Experience leading blended teams across onshore/offshore models and managing MSP or strategic…