Senior Finance Manager, Manufacturing Finance Intelligence

Kraft Heinz•Chicago, IL

6d•Onsite

About The Position

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, an industry-leading total rewards package that emphasizes a high discretionary bonus. Benefits begin 30 days after hire for hourly employees, and immediately upon hire for salaried employees. Get a peek into life here at Kraft Heinz through our Instagram and TikTok channels! Senior Finance Manager, Manufacturing Finance Intelligence at a glance…. You will own the Manufacturing Finance Intelligence capability within the Supply Chain Finance Intelligence pillar at Kraft Heinz. That 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.

Requirements

5–8 years of experience in finance, analytics, or data engineering — with meaningful 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 is strongly preferred
Ability to build automated analytics pipelines — not just consume them; Python, SQL, and Power BI are part of my day-to-day
Designed or deployed AI agents, copilots, or LLM-powered tools in a finance or enterprise context — this is a strong differentiator
Deeply familiar with SAP/S4 cost object structures — production orders, cost centers, internal orders — in a manufacturing or plant controlling context
Understand manufacturing cost accounting mechanics — standard costing, variance analysis, absorption, scrap, and how these flow through the P&L
Managed or mentored at least one person before — I know the difference between delegating work and developing someone
Understand what Plant Controllers and Manufacturing Finance leaders actually need, and I build for that — not for technical elegance
Comfortable owning a roadmap in a matrixed, fast-moving environment without complete requirements handed to me
Bachelor’s degree in Finance, Accounting, Engineering, Computer Science, or a related field

Nice To Haves

An advanced degree is a plus, not a requirement

Responsibilities

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