Jobs at General Mills

Leads cloud and on-premises database platform administration, migration, refactoring, automation, and support. Manages SQL Server, PostgreSQL, MySQL, and MongoDB environments; resolves performance issues, failures, and alerts; implements high availability, disaster recovery, security, and clustering solutions. Develops migration tooling and documentation, supports CI/CD and infrastructure-as-code practices, and collaborates with application and cross-functional teams in a 24/7 environment.

Manages global supply chain projects, programs, and workstreams from planning through implementation. Establishes plans, milestones, dependencies, risks, and governance; coordinates cross-functional teams; communicates status and recommendations to stakeholders; and drives measurable outcomes. The role also applies PMO standards, improves delivery practices, maintains project documentation, and supports initiatives across functions, cultures, and time zones.

Leads enterprise business intelligence architecture, semantic-layer strategy, governance, data visualization, analytics, and AI-enabled solutions. Designs scalable models and dashboards across Looker, LookML, BigQuery, Tableau, and related platforms. Establishes reusable standards, KPI definitions, testing, CI/CD, and change-control practices. Partners with business and technology stakeholders, evaluates platforms, leads proofs of concept, resolves technical issues, and drives data-informed decision-making. The role requires extensive BI architecture, data engineering, data warehousing, cloud, and enterprise semantic modeling experience.

Configure and support SAP FICO across ECC and S/4HANA, including core finance, controlling, project systems, product costing, and material ledger. Design, implement, test, deploy, and support SAP and non-SAP finance solutions while leading integrations with business modules and third-party platforms. Partner with Finance stakeholders, manage implementations, coordinate vendors, support change initiatives, and provide incident assistance across US and India teams.

Maintain and execute approved SAP customer master data requests, including creation, changes, extensions, blocking, activation, and mass maintenance. Process workflows using SAP MDM or MDG, perform mass loads with SAP tools, and support data operations across business functions. The role requires strong SAP master data knowledge, prioritization, communication, and collaboration skills, with exposure to ServiceNow, Winshuttle Evolve, SQL, data management, integration, and analytics.

Supports demand planning by developing and improving forecasting processes, analyzing forecast accuracy and bias, managing launch forecasting data, and producing dashboards and reports. Uses statistical models, Python, SQL, Excel, cloud platforms, and visualization tools to identify trends and root causes. Collaborates with marketing, data science, and technical teams, leads consensus meetings, standardizes methodologies, and trains stakeholders to improve forecast adoption and business outcomes.

Supports demand planning through forecasting analysis, statistical model refinement, dashboard development, root cause analysis, and process improvement. The role manages data for product launches, monitors forecast accuracy and bias, collaborates with marketing and data science teams, leads consensus meetings, and trains stakeholders on planning tools and methodologies. Requires a 1:30 p.m. to 10:30 p.m. shift.

Owns data stewardship for agentic AI systems, including data quality rules, lineage, observability, catalogs, semantic layers, access controls, compliance, audit trails, and data management plans. Partners with AI engineers, data scientists, legal, compliance, and business stakeholders to ensure trustworthy, compliant, and usable structured and unstructured data. Supports root-cause analysis, governance automation, and monitoring of data health and AI-related data practices.

Leads indirect sourcing and procurement for corporate services and transportation categories. Responsibilities include developing category strategies, running RFI/RFP sourcing events, negotiating commercial terms, managing supplier performance, delivering cost savings, analyzing costs and ROI, and coordinating stakeholders across supply chain, finance, legal, logistics, and suppliers. The role also supports compliance, risk mitigation, innovation, and continuous improvement initiatives.

Develop advanced supply chain analytics solutions using descriptive, diagnostic, predictive, and prescriptive modeling, machine learning, statistical analysis, forecasting, and operations research. The role involves gathering requirements, leading projects, managing stakeholders, deploying and sustaining models with DevOps/MLOps practices, presenting insights, and mentoring analysts in R, Python, and supply chain analytics. The position requires working a 1:30 p.m. to 10:30 p.m. shift.

Manage customer orders, transactions, inquiries, and service issues across phone, email, and chat. Investigate order, delivery, return, and refund problems; escalate complex cases; maintain accurate records; and use operational data to identify recurring issues. Collaborate with Field Sales, Supply Chain, logistics, and customer teams to resolve problems, maintain service levels, improve processes, and enhance customer satisfaction. This individual contributor role works a 3:30 PM–12:30 AM shift.

The D&T Quality Engineer II designs and executes functional, API, web, mobile, database, performance, security, and system integration testing. Responsibilities include developing test suites, applying test design techniques, supporting automation, validating REST and SOAP APIs, and working with microservices and CI/CD environments. The role uses Agile testing practices, issue tracking tools, cloud testing environments, and AI tools while collaborating across teams and mentoring others.

Analyze supply chain data, develop statistical, optimization, predictive, and prescriptive models, conduct scenario planning, and automate workflows. The role addresses planning, procurement, manufacturing, network, and end-to-end supply chain challenges while translating business objectives into analytical solutions. Responsibilities include data cleansing, trend and root-cause analysis, sensitivity analysis, and presenting actionable insights. Work is performed under supervision and requires a 1:30 p.m. to 10:30 p.m. shift.

Supports Supply Chain Finance and FP&A through forecasting, budgeting, cost analysis, reporting, variance commentary, pricing and expense consolidation, and stakeholder reporting. The role also involves distributor trade-spend forecasting, financial data validation, SAP/ERP learning, Excel-based analysis, process improvement, root-cause analysis, and maintaining accurate workpapers. It is designed for CMA students completing a 12–15-month internship or industrial training assignment.

Designs, develops, and optimizes scalable data pipelines, platforms, and models using Snowflake, dbt, Azure, and Databricks. Integrates and harmonizes multiple data sources, establishes data-quality and governance practices, applies security controls, and enables analytics and reporting. The role also translates stakeholder requirements into sustainable data solutions, optimizes performance and cost, monitors workflows, and contributes to engineering standards and continuous improvement.

Leads supply chain FP&A, forecasting, reporting, cost analysis, and business support for operating units. Partners with finance, sourcing, manufacturing, logistics, and project teams on product launches, cost savings, innovation and renovation costings, capital projects, and ad hoc analysis. Analyzes cost trends, identifies data outliers and root causes, summarizes key business drivers, supports planning processes, and drives process efficiencies and improvements.

Leads DevOps and SRE initiatives by designing scalable CI/CD frameworks, automating infrastructure and compliance, implementing DevSecOps practices, and supporting cloud platforms. Manages GitHub Actions, Jenkins, Artifactory, Vault, Kubernetes, Terraform, and GCP or Azure environments. Responsibilities include disaster recovery, system upgrades, monitoring, troubleshooting, cloud optimization, audit readiness, technical leadership, mentoring, and cross-functional collaboration.

Manage inventory reconciliations, investigate supply-chain discrepancies, execute grain accounting, oversee product costing and SAP material setup, prepare journal entries and account reconciliations, support audits and Sarbanes-Oxley compliance, meet reporting SLAs, and implement process improvements. The role partners with manufacturing facilities, co-packers, internal stakeholders, and U.S. personnel to maintain accurate financial and inventory records.

Leads a team of 8–15 Customer Operations Specialists responsible for customer order processes, order-to-cash execution, service excellence, and supply chain efficiency. Oversees coaching, onboarding, training, resource allocation, issue resolution, process standardization, performance accountability, and continuous improvement. Partners with fulfillment, logistics, warehousing, transportation, sales, and supply chain teams to execute customer strategies, resolve pricing and allocation issues, and improve operational accuracy.

Supports the Go to Market PMO and Holistic Margin Management community through project and portfolio administration, data validation, reporting, charter intake, tool administration, issue resolution, data migration, and system transitions. Maintains accurate OneView records, supports governance cycles, improves reporting consistency, assists users, and coordinates with project managers, PMO leaders, and cross-functional stakeholders.