AI Data Analyst

Prysmian

McKinney, United States

Full Time

Posted September 30, 2026

$48k - $67k· Est.

Transmission & Distribution

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Listing evidence and provenance

Source: workday View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed October 1, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Transmission & Distribution
Pay provenance: Estimated benchmark; not employer-provided

Job Description

Lead the transformation of Quality operations through the implementation of Artificial Intelligence (AI), advanced analytics, automation, and digital technologies that improve quality performance, accelerate decision-making, and enhance operational efficiency.

Key Responsibilities

Develop and implement AI-enabled solutions that improve quality performance, operational efficiency, and organizational decision making.
Identify, evaluate, and prioritize AI use cases that support quality inspections, root cause analysis, predictive quality monitoring, risk identification, and process optimization.
Deploy and support generative AI technologies, and digital assistants that enhance productivity and business effectiveness.
Design, develop, and maintain advanced quality analytics dashboards, KPI scorecards, and business intelligence reporting systems.
Leverage AI and analytics to identify trends, predict potential quality risks, and provide actionable recommendations to leadership.
Develop automated workflows utilizing Power Automate, Power Apps, and other digital platforms to eliminate manual processes and improve data accessibility.
Lead digital transformation projects from concept through implementation, adoption, and sustainment.
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Support development of quality knowledge repositories, AI-powered knowledge bases, and intelligent search capabilities.
Collaborate with IT and business stakeholders to integrate quality data sources and establish scalable digital solutions.
Develop AI-assisted reporting and data analysis tools that improve visibility into COPQ, customer complaints, NCPs, audits, process performance, and operational metrics.
Monitor emerging technologies and evaluate opportunities to improve business performance through innovative digital capabilities.
Serve as the organizational champion for AI adoption and digital innovation within the Quality organization.

Requirements

Artificial Intelligence & Digital Transformation Ability to identify, develop, and implement AI-enabled solutions that improve quality performance, decision-making, and operational efficiency.
Data Analytics & Business Intelligence Ability to analyze complex datasets, develop meaningful insights, and translate data into actionable business improvements.
Automation & Process Optimization Experience developing automated workflows and digital solutions that improve productivity, reduce manual effort, and enhance process effectiveness.
Quality Improvement & Problem Solving Knowledge of continuous improvement methodologies with the ability to drive sustainable quality and process improvements.
Project Leadership & Execution Ability to lead cross-functional initiatives from concept through implementation while delivering measurable business results.
Change Management & Technology Adoption Ability to influence stakeholders, promote digital innovation, and drive organizational adoption of new technologies and processes.
Communication & Collaboration Strong communication, training, and stakeholder engagement skills with the ability to work effectively across multiple functions and organizational levels.