Senior Finance Manager, Manufacturing Finance Intelligence

Here at Kraft Heinz, we grow our people to grow our business, because we believe that great people make great companies. When you join our table, you can expect access to an array of holistic wellness benefits and perks, including medical, dental and vision coverage, 7% 401(k) matching, Business Resource Groups (BRGs) to help foster diversity, inclusion, and belonging for all employees, and an industry‑leading total rewards package that emphasizes a high discretionary bonus.

You will own the Manufacturing Finance Intelligence capability within the Supply Chain Finance Intelligence pillar at Kraft Heinz. This means building the AI‑powered analytics, automation, and agent layer that transforms how the company manages plant costs, capital expenditure, production efficiency, and manufacturing finance closing and forecasting. You will be hands‑on in the build, manage one analyst, and deliver intelligence that Plant Controllers and Manufacturing Finance leaders use to make faster, better‑informed decisions.

You are not here to produce reports; you are here to build the system that makes reports obsolete.

• Architect and own the Manufacturing Finance Intelligence capability end‑to‑end — plant cost analytics, capex tracking, production efficiency reporting, month‑end close automation, and forecast automation on Snowflake Cortex
• Build and maintain AI agents tailored to manufacturing finance workflows — automating close tasks, forecast packs, cost variance analysis, absorption tracking, and ad‑hoc manufacturing finance requests
• Lead plant cost analytics across the manufacturing network: cost variances, scrap, absorption, fixed vs. variable cost tracking, and production volume efficiency visibility for Plant Controllers and Manufacturing Finance leadership
• Design and deploy automated dashboards and reporting pipelines that replace manual Excel and PowerPoint processes across the manufacturing finance cycle
• Own SAP/S4 and Snowflake data pipelines feeding manufacturing analytics — ensuring cost object data integrity, plant‑level traceability, and auditability at every layer
• Manage and develop one finance analyst — set priorities, build technical capabilities, and create a high‑output working relationship that multiplies your delivery capacity
• Translate complex manufacturing finance questions into scalable, repeatable solutions that Plant Controllers and Finance business partners can use without your direct involvement
• Contribute architectural patterns and automation frameworks to the broader Finance AI roadmap, shared across the four Finance AI pillars

• I have 5–8 years of experience in finance, analytics, or data engineering — with meaningful exposure to manufacturing finance, plant controlling, or supply chain cost management
• I have hands‑on experience with Snowflake or an equivalent cloud data platform;
  Snowflake Cortex or LLM API experience is strongly preferred
• I can build automated analytics pipelines — not just consume them;
  Python, SQL, and Power BI are part of my day‑to‑day
• I have designed or deployed AI agents, copilots, or LLM‑powered tools in a finance or enterprise context — this is a strong differentiator
• I am deeply familiar with SAP/S4 cost object structures — production orders, cost centers, internal orders — in a manufacturing or plant controlling context
• I understand manufacturing cost accounting mechanics — standard costing, variance analysis, absorption, scrap, and how these flow through the P&L
• I have managed or mentored at least one person before — I know the difference between delegating work and developing someone
• I understand what Plant Controllers and Manufacturing Finance leaders actually need, and I build for that — not for technical elegance
• I am comfortable owning a roadmap in a matrixed, fast‑moving environment without complete requirements handed to me
• I have a Bachelor’s degree in Finance, Accounting, Engineering, Computer Science, or a related field; an advanced degree is a plus, not a requirement

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