Jobs at Cargill

IT Asset Management Process Consultant responsible for designing, documenting, governing, and continuously improving ITAM processes. The role develops workflows, process maps, RACI matrices, SOPs, and knowledge materials; supports HAM, CMDB, and SAM; manages Agile backlogs and delivery tracking; ensures ITIL 4, compliance, and organizational standards alignment; and prepares executive presentations and recommendations.

Provides technology leadership for SAP S/4HANA and related systems across supply chain, manufacturing, logistics, warehousing, and transportation. Captures requirements, evaluates solution alternatives, configures applications, designs and deploys releases, supports users, and leads complex application support. Partners with stakeholders, architects, developers, and product teams while representing the Operations workstream, managing staffing and budgets, and mentoring team members.

Develop and enhance OneStream business rules, dashboards, workflows, cube views, integrations, and extensibility solutions for corporate finance. Lead technical design and planning, collaborate with Finance and technology stakeholders, participate in code reviews, improve development and deployment processes, document complex applications, and troubleshoot production issues. The role supports financial consolidation, planning, and analysis applications while ensuring compliance with software architecture and engineering standards.

Leads strategic cybersecurity engineering across enterprise IT and manufacturing OT environments. Designs and improves endpoint, network, cloud, remote access, and identity controls; assesses industrial architectures and risks; coordinates with plant operations, engineering, OEMs, and global security teams; supports incident response, compliance, change management, and secure operational continuity while balancing safety, quality, production stability, and legacy technology constraints.

Supports FP&A planning and forecasting products by gathering requirements, analyzing finance processes and data, defining business rules, and validating solutions. Partners with finance, technology, analytics engineering, and subject-matter experts to deliver trusted AI-enabled products. Builds reports and dashboards, performs statistical analysis, improves data and reporting processes, supports adoption, and ensures data accuracy, consistency, and security.

Implements data management and governance strategies, standards, policies, and controls. Maintains data quality, storage, integration, lifecycle management, compliance, and risk processes. Partners with technology teams and business units, improves data operations, supports audits, deploys governance solutions, and delivers training to strengthen data literacy and organizational accountability.

Supports FP&A reporting and performance products by gathering requirements, analyzing processes and data, documenting business rules and lineage, conducting statistical analysis, improving reporting processes, validating data quality, and partnering with finance, technology, and engineering teams to deliver trusted solutions.

Own the architecture, development, and operations of Cargill’s enterprise data platform. Build and optimize Azure and on-premises ETL/ELT pipelines, manage databases and migrations, implement CI/CD, improve performance and reliability, and create embedded Superset dashboards. Monitor platform health, data quality, security, and costs while integrating emerging AI capabilities. Mentor data professionals and make architectural decisions across global teams.

Leads the global real estate product strategy, vision, roadmap, backlog, and value delivery. Advises leadership using data and insights, develops scalable processes and technology capabilities, partners with cross-functional stakeholders, delivers minimum viable products, and guides global implementation and operational improvements for real estate users.

Designs, builds, and maintains scalable data infrastructure, batch and streaming pipelines, data models, and cloud-based data products. Develops production-grade Python solutions on AWS, Snowflake, and relational databases; optimizes performance, cost, security, reliability, and data quality. Collaborates with analytics and business teams, implements automated deployment pipelines, and supports GenAI use cases involving data preparation, embeddings, OpenAI, and RAG workflows.

Designs, builds, and maintains scalable data infrastructure, streaming and batch pipelines, data systems, data models, and cloud-based data products. Develops automated deployment pipelines, evaluates architectures, supports data governance, and collaborates with analytics teams and stakeholders. The role requires advanced programming and SQL expertise, modern data architecture experience, and proficiency with cloud platforms, Spark, Kafka, orchestration tools, and data modeling frameworks.

Leads the design, development, deployment, and support of AI assistants, agents, automation workflows, APIs, microservices, RAG pipelines, and vector-search solutions. Translates business requirements into secure, scalable, observable, and cost-efficient AI services. Oversees testing, reliability, monitoring, incident management, governance, cybersecurity, and Responsible AI practices while partnering with product owners and cross-functional teams.

Summer internship working on cloud, big-data, and application development projects within Cargill's Digital Technology & Data team. Interns contribute individually and on teams, receive mentorship and performance evaluations, and participate in networking and development events. Typical 12-week, paid, on-site assignment with potential for return offers based on performance.

Develops and maintains enterprise software applications, with emphasis on ERP implementations and customization. Responsibilities include writing scalable code, automating deployments, collaborating with cross-functional teams, testing and debugging, documenting systems, supporting deployed applications, and improving development processes. The role also involves translating business requirements into technical specifications, full lifecycle implementation, data migration, ETL, and system integration.

Supports enterprise IT Change Management by assessing and coordinating technology changes, evaluating risks and readiness, facilitating CAB and Emergency CAB activities, maintaining governance documentation, monitoring performance, supporting audits, and identifying process improvements. The role collaborates with technology teams, vendors, and business stakeholders while co-leading IT projects such as upgrades, migrations, and implementations.

Designs, develops, implements, and supports ServiceNow solutions for Legal, Ethics and Compliance, Corporate Affairs, and related functions. Responsibilities include application configuration, workflow automation, integrations, requirements translation, deployments, testing, troubleshooting, documentation, risk management, stakeholder and vendor collaboration, continuous improvement, and mentoring. The role provides end-to-end technical ownership while improving business processes, user experience, reliability, security, and AI-enabled platform capabilities.

Develop, implement, and support ServiceNow solutions for Legal, Ethics & Compliance, Corporate Affairs, and related functions. Build workflows, automations, integrations, and AI-enabled capabilities; translate business requirements into scalable solutions; perform deployments, testing, troubleshooting, documentation, and application support. Collaborate with product managers, stakeholders, technology teams, enterprise ServiceNow teams, and vendors while ensuring platform reliability, security, optimization, and continuous improvement.

Own the Learning & Development technical product strategy, lifecycle, roadmap, backlog, and business outcomes. Partner with product owners, stakeholders, and delivery teams to define requirements, prioritize work, guide implementation, measure performance, and demonstrate business value. Lead innovation, change management, adoption, and stakeholder communications while making data-driven decisions and providing strategic thought leadership.

Leads the Trading and Risk Management data strategy, roadmap, information architecture, and execution. Converts trading priorities into governed, reusable data products and AI-ready foundations. Provides technical leadership across data engineering, pipelines, platforms, modeling, integration, security, and governance. Partners with trading, risk, operations, and technology leaders, prioritizes delivery backlogs, defines measurable outcomes, and builds data capabilities across teams. Requires deep cloud data engineering expertise and experience in trading, commodities, financial markets, or risk management.

The Manager, Network Engineering oversees network infrastructure, implements strategies for performance and security, and manages vendor relationships. Responsibilities include team management and stakeholder engagement.