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# Lead Data Management Engineer II

- **Company:** Deloitte T.T.L.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $137,500.0 - $229,100.0
- **Contract:** Permanent contract
- **Skills:** AWS Textract, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Information Systems, Data Architecture, Data Infrastructure, Python (Programming Language), SQL Databases, Enterprise Data Management, Google Cloud, Cloud Platform System, Generative AI, Uipath, Information Technology, Playwright, Data Analytics, Intelligent Document Processing, Data Pipelines, Devsecops, Servicenow
- **Published:** October 27, 2026
- **Apply:** https://apply.deloitte.com/en_US/careers/Login?jobId=365055

## About the Role

* Ability to work independently and collaborate as part of a team
 * Effective written and verbal communication skills
 * Meticulous attention to detail and quality of work product
 * Ability to build and sustain professional relationships
 * Ability to lead projects or workstreams
 * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
 * Strong interpersonal skills and professional demeanor
 * Ability to meet deadlines
 * Ability to mentor and provide clear guidance to others, Required:
 * Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or another technical field
 * 8+ years of experience designing, building, and supporting data management, data engineering, or automation solutions
 * 5+ years of experience developing workflow automation solutions using Python, ServiceNow, Playwright Automation, or UiPath
 * 3+ years of experience implementing data governance, metadata management, data quality, or master data management processes
 * Active Top Secret/Sensitive Compartmented Information (TS/SCI) with Polygraph security clearance
 * Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
 * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

 * Experience supporting government or public sector data modernization programs
 * Experience with cloud-based data platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
 * Experience with structured query language (SQL), Python, and enterprise data warehousing solutions
 * Experience with data architecture, data modeling, and large-scale data integration
 * Experience with Agile delivery methods and DevSecOps-enabled data platform delivery
 * Master's degree in Computer Science, Information Systems, Engineering, Data Science, or another technical field

## Description

Join our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a Lead Data Management Engineer II on the AI & Data team, you will be responsible for…

 * Leading the assessment, design, and implementation of data management, intelligent automation, and AI-enabled solutions for government and public sector clients
 * Eliciting, analyzing, documenting, and managing business, functional, and technical requirements to align solution design with stakeholder needs and strategic objectives
 * Building and integrating automation frameworks, data pipelines, scripts, and enterprise solutions using Python, ServiceNow, Playwright Automation, UiPath, and other automation technologies
 * Researching emerging automation and artificial intelligence technologies; developing prototypes, proof-of-concepts, and pilot solutions; and evaluating alternatives to traditional enterprise automation platforms
 * Designing and integrating capabilities such as intelligent document processing, generative artificial intelligence services, Amazon Web Services (AWS) Bedrock, and AWS Textract to improve operational efficiency and mission outcomes
 * Leading technical execution, testing, deployment, continuous improvement, and stakeholder presentations, including demonstrations, workshops, and solution roadmaps