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# Director, Engineering, Data & AI

- **Company:** MCCARTHY & COMPANY, P.C.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Engineering, Cyber Security, Information Systems, Information Engineering, Data Infrastructure, DevOps, Machine Learning, Azure Machine Learning, Software Engineering, Enterprise Software Applications, Cloud Platform System, Palantir Foundry, Information Technology, Enterprise Integration, Data Management, Machine Learning Operations
- **Published:** October 27, 2026
- **Apply:** https://jobs.military.com/career/375679/director-engineering-data-ai-missouri-mo-st-louis

## About the Role

* Bachelors degree in computer science, engineering, information systems, data science, or equivalent practical experience. Masters degree preferred.\n
 * Minimum 12 years senior leadership experience across software engineering, data engineering, AI engineering, technology platforms, or a closely related enterprise technology domain.\n
 * 5+ years of technical people leadership and experience leading through managers or senior technical leaders.\n
 * Demonstrated success designing and operating technology organizations through growth, transformation, platform modernization, or operating-model change.\n
 * Strong understanding of software engineering, cloud platforms, data platforms, AI/ML engineering, integration, DevOps, reliability, security partnership, and production operations.\n
 * Experience translating business strategy into technology strategy, organizational design, investment priorities, and measurable execution.\n
 * Strong executive communication, stakeholder management, talent leadership, and change-leadership skills.\n
 * Ability to lead through influence across Product, Architecture, Cybersecurity, Finance, Operations, vendors, and business stakeholders.\n, * Experience scaling an enterprise engineering, data, and AI organization in a complex or regulated environment.\n
 * Experience with modern data platforms, AI/ML platforms, MLOps, cloud-native engineering, enterprise integration, or platform engineering.\n
 * Experience with Palantir Foundry or comparable platforms is helpful but not required.\n
 * Experience transitioning from contractor- or partner-led delivery to an internal engineering operating model.\n