Top Tech Jobs & Startup Jobs

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.

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.

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.