Top Tech Jobs & Startup Jobs

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.

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.

Designs and develops advanced analytics, machine learning, generative AI, agentic AI, and RAG solutions. The role includes framing business problems, curating and evaluating data, building analytical models, optimizing retrieval workflows, monitoring model performance, and translating stakeholder needs into measurable outcomes. The scientist also evaluates emerging technologies, establishes data science standards, communicates recommendations, and collaborates with business partners and other data scientists.