Finance Lead, FP&A Commercial/FP&A Intelligence Finance – Capability & Technology

Job Description

Job ID

R-104721

Date posted

09/24/2026

Team

Commercial

Location

Chicago, IL, US, Amsterdam, NH, NL

Job Description

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!

Finance Lead, FP&A Commercial/FP&A Intelligence Finance at a glance...

You will own the FP&A Intelligence capability within the Finance Capability & Technology, FP&A/Commercial pillar at Kraft Heinz. That means building the AI-powered analytics, automation, and agent layer that transforms how the company plans, forecasts, and reports — from annual budgeting and long-range planning to monthly variance analysis and BU-level finance support. You will be hands-on in the build, report to the Associate Director, and deliver intelligence that BU CFOs, the CFO organization, and finance business partners use to make faster, better-informed decisions.

You are not here to produce reports. You are here to build the system that makes manual FP&A work obsolete.

What’s on the menu?

Architect and own the FP&A Intelligence capability end-to-end — budgeting, forecasting, long-range planning, variance analysis, corporate consolidation, and BU-level finance support, all automated and agent-powered on Snowflake Cortex

Build and maintain AI agents tailored to FP&A workflows — automating forecast pack generation, variance commentary, budget consolidation, LRP scenario modeling, and ad-hoc finance requests from BU CFOs

Automate the month-end close and forecast cycle for corporate FP&A — replace manual Excel consolidations, commentary templates, and reporting packs with scheduled, validated, pipeline-driven outputs

Own SAP/S4 and Snowflake data pipelines feeding FP&A analytics — P&L structures, cost center hierarchies, plan vs. actual data — ensuring integrity, traceability, and auditability at every layer

Build self-serve FP&A intelligence tools for BU finance business partners — dashboards, scenario models, and agent interfaces that finance teams can use without requiring the central FP&A team in the room

Partner with Commercial Intelligence Leads to ensure FP&A and commercial data are connected — so that volume, revenue, and cost signals flow coherently into planning and forecasting outputs

Translate complex FP&A questions into scalable, repeatable solutions that finance business partners can use without your direct involvement

Contribute architectural patterns and automation frameworks to the broader Finance AI roadmap, shared across all four Finance AI pillars

Recipe for Success — apply now if this sounds like you!

I have 5–8 years of experience in FP&A, finance analytics, or data engineering — with meaningful depth in financial planning, budgeting, forecasting, and variance analysis in a large organization

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 FP&A data structures — P&L hierarchies, cost centers, profit centers, plan versions — and how they feed into financial reporting and planning systems

I understand FP&A mechanics deeply — budget cycles, rolling forecasts, LRP, variance drivers, and how BU CFOs actually use financial information to make decisions

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, or a related field; an advanced degree or CFA is a plus

Location(s)

Amsterdam

Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.

• 5–8 years in FP&A, finance analytics, or data engineering with deep financial planning and forecasting experience
• Proficient in Snowflake or similar cloud platforms, Python, SQL, Power BI; experience with AI agents or LLM tools preferred
• Bachelor’s in Finance, Accounting, Engineering, or related field; advanced degree or CFA is a plus