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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.

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.