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Lead the redesign of cost allocation workflows using AI and machine learning to automate driver-based allocations across a SAP and cloud-native environment. Requires seven years in FP&A, consulting, or related roles, with full-cycle experience in budgeting, forecasting, variance analysis, and modeling at multinational companies. Priority skills include SAP expertise, AI/ML application for finance, SQL, and advanced data modeling to ensure compliance, scalability, and accuracy in corporate spend allocation.

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Job Description

  • Lead the integration of AI and machine learning tools to automate driver-based cost allocations, reducing manual overhead and increasing the precision of corporate spend splits.
  • Drive the end-to-end redesign of horizontal allocation workflows, ensuring they are compliant, operational, and scalable within a SAP and cloud-native environment.
  • Ensure all automated and redesigned models accurately reflect underlying business realities, margin profiles, and accounting governance without creating blind spots.
  • Partner with Corporate Accounting, Corporate Engineering, and the FP&A Hub to solve complex financial challenges, bringing a unique cross-domain perspective to resource allocation.
  • Act as a multiplier within HSS by sharing best practices, demonstrating AI-assisted analytical workflows, and upskilling peers on modern tools.

Minimum qualifications:

  • Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
  • 7 years of experience in financial planning and analysis (FP&A), consulting, or a related function.
  • Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.

Preferred qualifications:

  • MBA, relevant Master's degree or professional qualification.
  • Experience leading large-scale process or system transformations within a complex multinational financial environment.
  • Experience in full-cycle FP&A (budgeting, forecasting, variance analysis) with a strong grasp of P&L mechanics and resource allocation strategy.
  • Experience working within a SAP environment and integrating modern SaaS financial tools.
  • Ability to influence and interact with executive stakeholders, acting as an objective advisor in high-pressure environments.
  • Strong skills in AI/ML application for finance, SQL, and advanced data modeling to generate actionable insights and automate workflows.
  • Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
  • 7 years of experience in financial planning and analysis (FP&A), consulting, or a related function.
  • Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.
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  • Role Senior Finance Analyst, Allocations Transformation
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview
Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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