AI-Powered FP&A Lead: Automate Planning & Forecasting

Kraft Heinz

Chicago (IL)

On-site

USD 102,000 - 171,000

Full time

2 days ago
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Job summary

Kraft Heinz is seeking a Finance Lead for FP&A Intelligence to own the end-to-end analytics and automation stack that supports budgeting, forecasting, and reporting. You will work hands-on in building AI-powered analytics and agent layers, reporting to the Associate Director, and enabling finance partners to make faster, better-informed decisions.

You will implement automated pipelines, consolidate data from SAP/S4 and Snowflake, and drive self-serve FP&A tools across BU finance teams in

Qualifications

  • 5–8 years of FP&A, finance analytics, or data engineering in a large organization.
  • Hands-on with Snowflake; Snowflake Cortex or LLM API experience preferred.
  • Able to build automated analytics pipelines with Python, SQL, and Power BI.
  • Experience designing AI agents or copilots in an enterprise finance context.
  • Familiar with SAP/S4 FP&A data structures like P&L hierarchies and cost centers.
  • Deep FP&A mechanics knowledge: budget cycles, rolling forecasts, LRP, variance drivers.
  • Bachelor’s in Finance/Accounting/Engineering; advanced degree or CFA is a plus.

Responsibilities

  • Own the FP&A Intelligence capability within the Finance Capability & Technology, FP&A/Commercial pillar.
  • Build AI-powered analytics, automation, and agent layers to support budgeting, forecasting, and reporting.
  • Automate month-end close and forecast cycles, replacing manual consolidations and templates.
  • Own SAP/S4 and Snowflake data pipelines feeding FP&A analytics for accuracy and auditability.
  • Create self-serve FP&A tools and dashboards for BU finance partners.

Skills

FP&A experience
Finance analytics
Data engineering
Python
SQL

Education

Bachelor’s degree in Finance/Accounting/Engineering

Tools

Snowflake
Snowflake Cortex
LLM API
Power BI
SAP/S4 FP&A data structures

Job description

Kraft Heinz is seeking a Finance Lead for FP&A Intelligence to own the end-to-end analytics and automation stack that supports budgeting, forecasting, and reporting. You will work hands-on in building AI-powered analytics and agent layers, reporting to the Associate Director, and enabling finance partners to make faster, better-informed decisions.

You will implement automated pipelines, consolidate data from SAP/S4 and Snowflake, and drive self-serve FP&A tools across BU finance teams in

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