Senior Finance Manager, Manufacturing Finance Intelligence

Job Description

Senior Finance Manager, Manufacturing Finance Intelligence

Oversee the Manufacturing Finance Intelligence capability within the Supply Chain Finance Intelligence pillar at Kraft Heinz. Build AI‑powered analytics, automation, and agent layers that transform plant cost management, capital expenditure tracking, production efficiency, and manufacturing finance closing and forecasting. Deliver solutions that make traditional reporting 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 delivery capacity.
• Translate complex manufacturing finance questions into scalable, repeatable solutions that Plant Controllers and Finance business partners can use without direct involvement.
• Contribute architectural patterns and automation frameworks to the broader Finance AI roadmap, shared across the four Finance AI pillars.

• 5‑8 years of experience in finance, analytics, or data engineering with exposure to manufacturing finance, plant controlling, or supply chain cost management.
• Hands‑on experience with Snowflake or an equivalent cloud data platform;
  Snowflake Cortex or LLM API experience strongly preferred.
• Ability to build automated analytics pipelines – not just consume them;
  Python, SQL, and Power BI are part of daily work.
• Experience designing or deploying AI agents, copilots, or LLM‑powered tools in a finance or enterprise context.
• Deep familiarity with SAP/S4 cost object structures – production orders, cost centers, internal orders – in a manufacturing or plant controlling context.
• Understanding of manufacturing cost accounting mechanics – standard costing, variance analysis, absorption, scrap, and their flow through the P&L.
• Managed or mentored at least one person before; skilled at delegating and developing talent.
• Solid grasp of what Plant Controllers and Manufacturing Finance leaders actually need, building solutions for practical impact rather than technical elegance.
• Comfortable owning a roadmap in a matrixed, fast‑moving environment without complete requirements handed off.
• Bachelor's degree in Finance, Accounting, Engineering, Computer Science, or related field; advanced degree is a plus, not required.

New Hire Base Salary Range: $ – $

Bonus: Performance‑based bonus as per plan terms and governing documents.

Benefits include medical, dental and vision coverage, 401(k) matching, and a comprehensive rewards package emphasizing a discretionary bonus. (Benefits begin 30 days after hire for hourly employees, and immediately upon hire for salaried employees.)