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Director of Manufacturing Data Management - Decatur, IL

Job in Decatur, Macon County, Illinois, 62523, USA
Listing for: ADM
Full Time position
Listed on 2026-10-03
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, AI Engineer (Applied/Software), Data Science Manager
Job Description & How to Apply Below
** 113762 *
* *
* Job Description:

*
* ** Director of Manufacturing Data Management for ADM*
* This is an exempt level position.

Preferred

Location:

North American Headquarters in Decatur, IL

The Director of Manufacturing Data Management is the senior leader responsible for driving manufacturing digital transformation at ADM by leading efforts to capture, store, contextualize, and access shop floor data, and the integration with other company data to produce data sets that will be used to make decisions at all levels of the company.  Your team will be responsible for managing data pipelines, ensuring data quality, and implementing governance frameworks that enable high-impact analytics and transformation initiatives.

Reporting to the Head of Manufacturing Digital Transformation, this role ensures ADM's plants and operations leverage advanced analytics, Industrial AI, and automation to improve productivity, quality, and reliability. By collaborating closely with analytics leaders, plant operations, and global technology teams, the leader scales manufacturing AI use cases, and embeds responsible AI practices across manufacturing operations.  Your work will empower analytics teams to deliver insights faster and more reliably, while also enabling decentralized data usage through well-managed platforms and self-service capabilities.

This role requires a strong understanding of data architecture, governance, and integration strategies, as well as the ability to communicate technical concepts to non-technical stakeholders. You will play a key role in fostering a data-driven culture and ensuring that manufacturing data is a trusted asset across the organization.

** About the Team*
* This team of Industrial Data Engineers maintain ADM's enterprise data historian.  In partnership with Global Technology, the team defines manufacturing data / AI requirements to build and maintain the edge devices, data pipelines, analytical models and cloud infrastructure that enable analytics at scale across global operations.

** Key Responsibilities*
* ** Manufacturing Data/AI Strategy*
* + Partner with Global Technology, define, execute data and AI strategy of the Manufacturing Digital Transformation Roadmap for adoption of Industrial AI across plants.

+ Align AI initiatives with manufacturing KPIs - Examples: throughput, yield, energy efficiency, and downtime reduction.

+ Champion data-driven decision making at shop-floor and enterprise levels.

** Industrial AI Execution*
* + Lead adoption of AI/ML models across the manufacturing enterprise, partnering with Global Technology for model development and engineering.

+ Lead the development of ADM's strategy to provide data sets that can be leveraged across manufacturing.

+ Define manufacturing data requirements and governance standards, partnering with Global Technology on architecture and systems integration.

+ Ensure high data quality, consistency, and availability for analytics supporting hybrid architectures, running on-premise, edge and in the cloud .

+ Collaborate with analytics teams to advance manufacturing analytics use cases, coordinating with Global Technology to ensure pipeline reliability and performance.

+ Develop and maintain metadata management and data cataloging practices

+ Support the implementation of self-service data tools and platforms

+ Provide training and guidance to operational teams on data best practices

+ Monitor data usage and compliance with internal and external standards

+ Stay current with emerging data technologies and trends to inform strategy

+ Travel and on-call work as part of issue/escalations are expected as part of this position

** Governance & Compliance*
* + Establish data governance for plant data by strong collaboration with respective manufacturing and engineering domain teams

+ Ensure AI systems meet safety, reliability, and compliance standards.

+ Drive auditability of industrial AI models.

** Responsible AI in Manufacturing*
* + Champion responsible AI adoption in manufacturing, partnering with Global Technology to ensure AI solutions meet safety, reliability, and ethical standards in production environments.

+ In partnership with Global Technology, promote AI literacy among plant colleagues. Build trust in AI-driven recommendations for frontline teams.

** Leadership & Collaboration*
* + Lead Manufacturing Digital Transformation Data Team, serving as the primary business interface to Global Technology for AI engineering and platform development solutions.

+ Partner with plant…
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