Jobs at General Mills

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.

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.

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.

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.

Leads and manages enterprise data engineering teams, overseeing managers, staffing, stakeholder relationships, vendor partnerships, operating-model improvements, data quality, and strategic initiatives. Provides technical guidance on cloud data platforms, data architecture, ETL/ELT, data warehousing, standards, and Agile delivery while building a culture of learning, collaboration, and accountability.

Leads the design, development, governance, and scaling of business intelligence, semantic-layer, conversational analytics, and AI-driven insight solutions. Builds Looker semantic models, LookML structures, BigQuery queries, dashboards, and governed self-service analytics products. Partners with business, product, technical, and governance teams across requirements, architecture, development, testing, deployment, monitoring, and continuous improvement. Establishes validation, metadata, access control, performance, and data-quality practices.

Design, build, and support cloud-based data pipelines, data models, and enterprise data warehouse solutions. Partner with stakeholders on business initiatives, troubleshoot data and performance issues, lead projects, mentor developers, evaluate technologies, and drive automation and continuous improvement using GCP and related data engineering tools.

Leads enterprise data architecture by designing scalable pipelines, data models, quality frameworks, and modern cloud-based data solutions. Partners with engineers, analysts, architects, and business stakeholders to shape technology roadmaps, evaluate emerging tools, and deliver strategic capabilities. Mentors data engineers, drives adoption of engineering practices, communicates architecture decisions, and supports hiring and onboarding.

Lead the migration and modernization of enterprise SQL Server databases to public cloud platforms. Administer 24/7 SQL Server environments, implement high-availability and disaster-recovery solutions, tune performance, manage backups, patching, and upgrades, and automate infrastructure with PowerShell and Terraform. Support cloud security, provisioning, monitoring, incident resolution, and application stakeholder collaboration within Agile and DevOps environments.

Designs, builds, and supports cloud-based data pipelines, data models, warehouses, and integrations, primarily using GCP. Troubleshoots performance and technical issues, leads enterprise initiatives, mentors developers, evaluates data technologies, and drives automation and continuous improvement. The role partners with business analysts, architects, and stakeholders to deliver global data engineering projects.

Build and maintain scalable end-to-end applications supporting the Palantir engineering portfolio. Responsibilities include technical design, .NET full-stack development, production troubleshooting, system integration, testing, code quality, DevOps improvements, and mentoring engineers. The role partners with cross-functional and global teams to deliver reliable, maintainable software solutions and drive adoption of modern technologies and engineering practices.

Owns the design, implementation, support, transformation, and continuous enhancement of TrakSYS MES and related digital manufacturing solutions. The role partners with business and technology stakeholders, manages integrations and incident resolution, supports roadmap development, delivers platform enhancements, and promotes system stability, adoption, training, and continuous improvement across manufacturing operations.

Supports demand planning through forecasting model analysis, data extraction, descriptive analytics, performance measurement, root-cause analysis, and process improvement. Uses SQL/PLSQL, visualization tools, statistical techniques, and cloud platforms to improve forecast accuracy. Partners with stakeholders and technical or data science teams to align forecasts, validate outputs, and implement standardized solutions. The role operates on a 1:30 p.m. to 10:30 p.m. shift.

Develops and maintains enterprise business intelligence solutions, including interactive Tableau dashboards, reporting tools, data visualizations, metrics, and analytical insights. Partners with business, product, data engineering, governance, and technical teams to translate requirements into scalable solutions. Responsibilities include data validation, technical architecture, troubleshooting, root-cause analysis, agile delivery, stakeholder communication, and deployment of standardized BI practices across the organization.