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# AI Enterprise Data Automation Senior Consultant

- **Company:** Contract Staffing Specialists, Inc.
- **Location:** Omaha, NE, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Artificial Intelligence, JIRA, Cascading Style Sheets (CSS), Information Engineering, Data Security, Meta-Data Management, Systems Development Life Cycle, Software Engineering, Data Pipelines
- **Published:** August 19, 2026
- **Apply:** https://jobs.cssus.net/index.smpl?arg=jb_apply&POST_ID=14219875

## About the Role

CSS takes a keen interest in thoroughly understanding the client's needs for a particular position. And then works to recognize the motivations and capabilities of candidates, looking for the win-win for client and candidate in the areas of fit and satisfaction for both parties. (more…)

Motivated Candidate

## Description

We are seeking a Senior Consultant to support enterprise data process automation through engineering, architecture, AI, and lead expertise. This role will contribute to solution design, uncover automation opportunities, and support implementation within the enterprise data ecosystem., Lead design activities, contribute to the automation strategy, and identify opportunities for process improvement and other value-add outcome across the enterprise data landscape. Responsibilities include developing prototypes, supporting implementation, defining agentic SDLC patterns, and overseeing delegated execution where appropriate. Mentor team members, transfer knowledge, and document work products, progress, and recommendations in a clear and usable form.

 * Engineering & Architecture
Shaping the technical foundation for automation. Participating in design sessions, defining solution architectures, and identifying high-value opportunities to automate processes across the data ecosystem.

 * Data Process Automation
Targets the automation of core enterprise data functions. Improve efficiency and consistency in data quality management, data access, security, metadata management, platform operations, and governance workflows.

 * Agentic SDLC Automation
Introduces AI-enabled software development practices. Design and prototype an agentic SDLC model, where AI assists in building data pipelines, semantic models and other data engineering components integrated with Jira-based work management and human oversight.

 * Mentoring & Enablement
Ensure sustainable capability building within the team. Mentor data engineers and governance personnel, supporting onboarding, and closing knowledge gaps in automation, AI engineering, and context engineering.


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