AI Data Engineer

Signet Jewelers

AI Data Analytics Engineer designing and developing AI-enabled analytics solutions for enterprise reporting and insights. Supporting AI initiatives and building scalable data products.

Posted 6/10/2026full-timeIrving • Ohio, Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

Design and develop AI-enabled analytics solutions supporting enterprise reporting, forecasting, operational insights, and intelligent decision-making.
Support enterprise AI initiatives including: Generative AI integrations, AI-assisted analytics, Natural language reporting, Predictive analytics, Recommendation and insight generation capabilities.
Develop reusable analytics frameworks and scalable data products supporting enterprise reporting and AI use cases.
Identify opportunities to leverage AI capabilities to improve reporting development efficiency and business insight generation.
Design and implement AI-driven solutions that proactively identify data anomalies, schema changes, integration failures, reporting inconsistencies, and data quality issues across enterprise platforms.
Develop intelligent monitoring and alerting frameworks that detect abnormal data patterns, missing data, volume fluctuations, and KPI deviations before impacting business operations.
Create AI-enabled solutions that proactively analyze upstream system and schema changes to identify potential downstream reporting and integration impacts.
Collaborate with governance and architecture teams to establish standards for responsible AI usage within analytics and reporting ecosystems.

Requirements

What you’ll need

Bachelors degree in Computer Science or related field
5+ years related experience

Benefits

Comp & perks

Competitive healthcare, dental & vision insurance
401(k) matching after one year of employment
Generous time off + company holidays
Merchandise discount
Learning & Development programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI-enabled analyticsGenerative AINatural language reportingPredictive analyticsRecommendation generationData anomaly detectionData quality managementAnalytics frameworksData productsMonitoring and alerting frameworks