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Cargill

Processing Training and Knowledge Management Lead

Cargill, Minneapolis, Minnesota, United States, 55400

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Processing Training and Knowledge Management Lead Join to apply for the

Processing Training and Knowledge Management Lead

role at

Cargill .

Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way.

This position is in Cargill’s agricultural supply chain business. We sit at the heart of the supply chain, partnering with farmers and customers to source, make and deliver essential products.

Job Purpose and Impact The Processing Training and Knowledge Management Lead supports the continuous improvement of procedures and training content aligned with the business segment strategic goals. The role involves connecting sites with existing standards, assisting in localization, and partnering with plants to close operator standard work gaps. The individual will provide AKMS (Accelerator Knowledge Management System) technical support, develop local capabilities, and ensure visibility of gaps against strategic initiatives and program progress.

Additionally, the role includes developing and deploying standardized training programs in collaboration with the Capability Enablement team, partnering with various stakeholders to address common gaps, and supporting both greenfield and brownfield projects. The position also involves collaborating with global MSC resources on capability development and knowledge management, exploring and adopting technology and AI to enhance content development, and leading the New Development Leadership Program for Oilseeds Processing.

Key Accountabilities

Support continuous upkeep of procedures and training content based on user feedback by coaching plant owners.

Deployment of procedures and training programs aligned to strategic goals, connecting sites with existing standards and assisting in localization to those standards and partnering with plants to close operator standard work gaps

AKMS (Accelerator Knowledge Management System) technical support and development of capabilities within the local teams

Lead the New Development Leadership Program for Oilseeds Processing, overseeing the program and facilitating virtual and in-person training sessions

Development and deployment of structured standardized training programs by persona in partnership with Capability Enablement

Partnership with MTL, RCC, M&R, and Plant Ops to develop wide solutions to common failures

Greenfield and brownfield project support for training and procedures

Partnering with global MSC resources on strategic approach to capability development and KM

Explore and adopt technology and AI to optimize content development and enhance user experience in the plants

Foster the alignment of local and regional stakeholders including Operations, EHS, FSQR and Engineering and Reliability, building strong partnerships to align on timelines, priorities and expected outcomes

Assess organizational readiness and implement process improvement in the knowledge management and training areas

Qualifications Minimum Qualifications

Bachelor's degree in a related field or equivalent experience

Minimum of four years of related work experience

Other minimum qualifications may apply

Preferred Qualifications

Ability to translate highly technical information across all levels of technical knowledge

Knowledge of Oilseeds Processing Crush and Biodiesel technologies

Influencing skills and complex stakeholder management

Understanding of training techniques adjusted to various audiences

Equal Opportunity Employer, including Disability/Vet.

The position may be eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and individual performance.

At Cargill we put people first. We offer a comprehensive benefits program including medical and/or other benefits dependent on the position and hours worked.

Note: This refined description retains the core responsibilities and qualifications from the original while removing irrelevant boilerplate and formatting issues.

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