AI Engineer

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Full Time Terre Haute, IN, US

The AI Engineer makes Saturn's data decision-ready. The role builds one reliable data foundation across SAP S/4

HANA, Ignition, Excel, and external market data, automates the reporting produced from it, and applies AI so that management receives analysis and recommendations directly, without the manual collecting, reconciling, and formatting steps in between.

The role reports to the CFO and works with the Executive and Plant Leadership Teams. It is a hands-on position: the incumbent builds the data models, reports, and AI solutions personally and is accountable for their accuracy. The role also makes the wider organization AI-ready by raising data quality at the source, building skills across the functions, and setting the rules for responsible use of data and AI.

include the following. Other duties may be assigned.

• Make high-quality base data an organizational standard: define entry rules, master data discipline, and data quality measurement together with the functions, which remain accountable for the accuracy of the data they create.
• Build and operate one data foundation that connects SAP S/4
  
  HANA, Ignition and production systems, Excel-based sources, and external market data such as Nielsen, as a Single Source of Truth.
• Establish consistent KPI and master data definitions and documented calculation logic, so that every report and every AI answer uses the same numbers.
• Work with the functions to eliminate the causes of poor data rather than correcting data downstream.

• Automate the recurring executive and plant reporting so that management information is produced without manual collecting, reconciling, or formatting.
• Inventory existing reporting, consolidate duplicates, and retire the manual spreadsheets that automated reporting replaces.
• Deliver executive-level output: few, clear views showing performance, drivers, and recommended action, so that leadership receives decisions to make rather than data to process.
• Use AI to generate commentary, variance explanations, and meeting-ready summaries from the underlying data, with human review before release.

• Move reporting from describing the past to anticipating the future: forecasting, scenario and sensitivity analysis, and early-warning indicators.
• Apply AI and statistical methods across all available data - financial, operational, machine, quality, and market - to identify trends, anomalies, and predictive maintenance opportunities.
• Quantify the financial impact of operational trends so that leadership sees the P&L consequence, not only the metric.

• Identify, prioritize, and implement AI and automation use cases across all functions, each with a business case and a measured benefit.
• Build and maintain AI agents and automated workflows that connect to Saturn's systems and perform real work, rather than standalone chat usage.
• Test and monitor the quality of AI output, and keep a human accountable for every decision.

• Build data and AI capability across the organization: train and coach employees at all levels in the practical, day-to-day use of AI, reporting, and automation tools.
• Identify where AI changes how work is done, and lead the change so that new ways of working are adopted and the replaced routines are retired.
• Make company knowledge and process documentation structured, current, and retrievable, so that both employees and AI systems can use it.
• Set and maintain…