Jobs at General Mills

Manage day-to-day contingent workforce program operations for India-based engagements. Serve as the operational subject matter expert, monitor KPIs and SLAs, ensure labor-law and policy compliance, resolve issues, support vendors and resource managers, analyze performance and cost savings, and recommend process improvements.

Supports day-to-day Planview portfolio operations, including data quality, governance, licensing, user administration, issue triage, reporting, dashboards, documentation, and process improvement. The role coordinates integration errors and manual data updates, supports release testing and adoption, and serves as the primary user-support contact for planning and delivery workflows.

Develops and commercializes new bar products across bench, pilot plant, and manufacturing scales. Responsibilities include designing experiments, analyzing data, coordinating consumer testing, creating product specifications, managing shelf-life and sensory evaluations, supporting prototypes, improving processes, collaborating cross-functionally, and training others. The role requires comfort in processing environments, problem-solving ability, teamwork, communication, adaptability, and willingness to travel approximately 10%, including occasional travel to Canada.

Supports food product R&D for cereal brands from early concepts through commercialization. Responsibilities include designing and documenting benchtop, pilot plant, and manufacturing experiments; prototyping; formulation; data analysis; equipment operation; food and human safety assessments; product evaluation; specification management; and cross-functional collaboration. The role also contributes to pipeline development, scale-up, consumer learning, and digital ways of working.

Leads the design and implementation of scalable MLOps pipelines on GCP using Vertex AI, Kubeflow, Airflow, and MLflow. Automates model deployment, monitoring, retraining, logging, and orchestration while establishing CI/CD, quality, and architecture standards. Provides production support, troubleshooting, optimization, and root cause analysis; partners with data science, engineering, and business teams; researches emerging technologies; and mentors engineers.

Leads FP&A and financial governance for global supply chain raw materials. Partners with sourcing, procurement, operations, and finance teams on planning, forecasting, reporting, margin improvement, cost savings, and financial analysis. Uses SAP cost modules to assess pricing, volume, incoterms, and vendor impacts, identify variances and root causes, improve reporting processes, and provide data-driven insights to business leaders.

Leads a team of five statisticians and data scientists while establishing experimentation standards across R&D. Owns end-to-end Design of Experiments strategy, advanced statistical modeling, decision-ready analytics, and reusable analytical tools. Partners with product development, process development, quality, and operations to improve product and process robustness. Coaches R&D teams, strengthens data and measurement discipline, and drives statistical rigor in a matrixed environment.

Lead production-line material handling and warehouse activities on the third shift. Operate forklifts, receive and inspect inbound materials, maintain inventory records, prepare outbound shipments, store raw materials and finished products, support continuous improvement, and train new employees. The role requires adherence to food safety, quality, workplace safety, and PPE standards while working in physically demanding conditions around machinery and allergens.

Processes customer promotional invoices, manages accounts receivable and delinquent accounts, reconciles inventory and transactional grain accounting, supports product costing and SAP master data, coordinates exports and customs documentation, and ensures SOX compliance, accurate month-end invoicing, audit readiness, stakeholder collaboration, and continuous process improvement.

Leads enterprise AI and data science strategy focused on Supply Chain decisioning. Designs and deploys production-grade machine learning, optimization, LLM, NLP, computer vision, agentic AI, and RAG solutions on GCP. Establishes architecture, governance, security, monitoring, and responsible AI standards while mentoring data scientists and influencing technology roadmaps. Partners with business, engineering, and platform leaders to deliver scalable, measurable AI products and services.

Conduct risk assessments, develop risk-based audit plans, perform global internal audits, test control effectiveness, and deliver advisory projects under Institute of Internal Auditors standards. The role partners with management, translates audit findings into business actions, recommends process improvements, leads audit projects and teams, and supports risk management across global operations. Travel of approximately 20% to 30% may be required.

Designs, builds, and supports cloud data engineering, ETL, SQL, and data warehouse solutions primarily on GCP. The role integrates enterprise data, supports platforms and scheduling tools, partners with technical and business stakeholders, leads small projects, drives automation and continuous improvement, and trains team members. Required expertise includes Python, SQL, BigQuery, Composer, Cloud Functions, dbt, cloud storage, data warehousing, and data governance.

Leads sourcing strategy and execution for complex marketing categories, including creative, production, promotions, packaging, licensing, and coupons. Manages RFPs, negotiations, supplier relationships, category strategies, savings pipelines, risk reduction, compliance, and stakeholder alignment across marketing, finance, legal, and suppliers. The role operates on a 3:30 p.m. to 12:30 a.m. schedule.

Designs, develops, tests, deploys, optimizes, and supports SAP Order-to-Cash and Customer Fulfillment solutions. Partners with supply chain, business, IT, and data stakeholders to translate requirements into scalable solutions, leads testing and production deployment, maintains test scripts, supports user adoption, mitigates risks, and mentors team members across logistics and customer fulfillment.

Analyzes and improves demand forecasts using OMP at the item, week, and location level. Manages promotions, seasonality, volatility, forecast bias, and demand-sensing metrics while ensuring data integrity. Partners with supply planning, logistics, marketing, and other stakeholders to improve service levels, reduce inventory and costs, and enhance capital utilization. Supports forecasting process improvements and related projects.

Participate in General Mills’ 10-week Finance Leadership Development Program internship, completing business-critical projects while developing finance, accounting, analytical, leadership, communication, and business skills through training and varied experiences.

Lead financial planning and performance management for General Mills’ North America Pet Treats and Cat Feeding business. Responsibilities include P&L forecasting, annual planning, financial target management, growth and margin planning, investment optimization, innovation support, risk mitigation, and translating business insights into actionable strategies. The role partners closely with Brand and cross-functional leadership teams to guide decisions, improve processes, and maximize value across the product lifecycle.

Analyzes customer, sales, panel, point-of-sale, and syndicated data to develop dashboards, reports, analytical tools, and stakeholder presentations. Translates data into actionable business insights and recommendations, supports strategic initiatives and competitive intelligence, ensures data quality, and partners with global stakeholders to improve decision-making, processes, and business performance.

Manage global accounting operations, including coupon audits, journal entries, account reconciliations, month-end tracking, reporting, process documentation, SLA performance, audit and SOX compliance, issue resolution, stakeholder coordination, cross-training, and continuous process improvement.

Analyze and optimize media campaign performance across TV, digital, social, and print channels for US food brands. Develop data-driven optimization strategies, monitor spend and KPIs, create reporting tools, and deliver actionable insights to improve media effectiveness. Collaborate with brand, media measurement, marketing planning, agency, and data teams while leading a team of 2–3 people and influencing cross-functional decisions.