VisaJobSearch
Jobs / Sab***

Lead Data & AI Engineer

Sab*** · Fort Wayne, IN, United States
Visa sponsorship details are locked. Unlock company name and apply link with .
Fort Wayne, IN, United StatesOnsite
Remuneration
Not specified
Location
Fort Wayne, IN, United States
Visa sponsorship
Sponsors visa

Job summary

What makes Sab*** a great place to work: Pay, benefits and more. Sab*** is eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more. To learn more about our benefits click here.

Benefits

And more.Sabert is eager to attract the best, so we offer competitive compensation and aPackage, including full health insurance (medical, dental and vision), 401(k), lTo learn more about ourClick here.Learn More About Sabert:We are a leading global manufacturer of innovative food packaging products and sThe company was founded in 1983 grounded in the purpose of reinventing food packWant more insight on what it’s like to work for Sabert?Click here to hear directly from our employees and learn more about our Company’Applicants must be currently authorized to work legally in the United States forSabert will not commence an employment-based immigration case to fill this open

Qualifications

  • Document data architectures, pipelines, models, and solutions to support knowledge sharing, scalability, and maintainability.
  • Required Knowledge,
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Information Systems, or a related field.
  • Minimum of 5+ years of experience in data engineering, data science, advanced analytics, or related roles.
  • Proven experience building and managing cloud-based data platforms and analytics solutions within enterprise environments.
  • Experience working with ERP, MES, CRM, or similar enterprise systems, preferably within a manufacturing or CPG organization.

Responsibilities

  • Design, develop, and maintain scalable, reliable data pipelines integrating structured and unstructured data from systems such as SAP S/4HANA, MES, SCADA, CRM, and other enterprise platforms.
  • Build and manage modern enterprise data environments, including Microsoft Fabric, Azure-based lakehouse architectures, and ETL/ELT pipelines.
  • Ensure high-quality, governed, and trusted data through implementation of data quality frameworks, validation processes, and consistency checks.
  • Establish and maintain master data management (MDM) practices and enforce enterprise data governance standards.
  • Enable real-time and near real-time data ingestion and processing from manufacturing systems, industrial IoT devices, and operational technology (OT) environments.
  • Develop, validate, and deploy advanced analytics and machine learning models, including demand forecasting, predictive maintenance, supply chain optimization, and financial planning models.
  • Build and operationalize end-to-end machine learning pipelines supporting anomaly detection, process optimization, and performance improvement.
  • Collaborate with cross-functional business partners to translate complex business challenges into scalable analytical solutions and production-ready AI models.
  • Perform exploratory data analysis to identify patterns, trends, and insights that drive continuous improvement across operations.
  • Design, develop, and deploy AI-powered solutions such as conversational agents, copilots, and workflow automation

Skills

CommunicationCustomer ServiceSAP

Degrees

AssociateDegree

Industry

AutomotiveEnergyInsuranceLogisticsManufacturing

Company size

EnterpriseSmb