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# AI & Digital Transformation Execution Lead - Global Engineering

- **Company:** Amphenol TCS
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Cyber Security, Information Systems, Decision Support Systems, Power BI, Microsoft SharePoint, Microsoft Power Automate, Generative AI, Information Technology, Performance Monitor
- **Published:** July 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=46d8c19f380ea521

## About the Role

* Bachelor's degree in Engineering, Computer Science, Information Systems, or related field. Master's degree preferred.
 * 4+ years delivering digital transformation, automation, AI implementation, engineering operations, or productivity initiatives.
 * Hands-on experience with Microsoft Power Platform, SharePoint, Power BI, Copilot/Generative AI, AI agents, workflow automation, and analytics.
 * Demonstrated ability to build business-ready solutions, launch pilots, scale adoption, and measure operational impact.
 * Strong execution discipline, stakeholder engagement, training, communication, and change adoption skills in global engineering environments.

## Description

* Execute the engineering AI and digital transformation playbook across global engineering teams, ensuring solutions are deployed, adopted, and sustained.
 * Identify and deliver high-value automation opportunities that improve productivity, quality, speed, data accuracy, and engineering visibility.
 * Deploy Generative AI, Microsoft Copilot, AI agents, Power Platform, SharePoint, and analytics solutions that reduce repetitive manual work.
 * Partner with engineering leaders and process owners to digitize, standardize, and simplify workflows such as cost models, project tracking, change management, and status reporting.
 * Build and maintain SharePoint-based engineering portals that centralize tools, KPI tracking, dashboards, delivery status, documentation, best practices, and training resources.
 * Create role-specific AI agents for engineers, project managers, product leaders, quality teams, and leadership to support knowledge retrieval, decision support, reporting, and workflow execution.
 * Develop Power BI dashboards, KPI scorecards, and automated reports that provide real-time visibility into engineering performance, project execution, productivity, quality, and transformation impact.
 * Lead hands-on deployment, testing, user training, communication, feedback capture, and continuous improvement to drive strong adoption across global teams.
 * Apply practical governance for AI, automation, data quality, security, compliance, and sustainable tool ownership in partnership with IT and Cybersecurity.
 * Track benefits realization, including cycle-time reduction, manual-effort elimination, reporting efficiency, adoption rates, and measurable ROI.


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