Vendor Economics and Opex Analyst, gTech Ads Finance
Google · Posted Oct 14
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
gTech Ads Finance partners with the leaders of gTech Ads as their CFOs, covering customer experience (CX), gTech Ads Enablement (gAE), Ads Solutions, Global Customer Solutions (GCS) and Large Customer Sales (LCS), and is becoming an AI-first finance team where automated pipelines and AI agents handle the mechanics. This role owns vendor and extended-workforce spend across gAE, CX and Ads Solutions, ensuring strategic vendor and opex decisions rest on the best available view of cost, risk and opportunity. The analyst works closely with vendor managers, operations leaders, gSO and finance business partners in India and Mountain View to build forecasts, track savings realization, and surface consolidation and rate opportunities.
What you will do
- Build and maintain a gTech Ads vendor opex forecast from drivers, on top of an automated baseline. Bring in risks and opportunities from vendor managers and business changes from vertical finance partners.
- Track AI-driven and operational efficiency savings across verticals (committed vs. realized) and check that savings in plans and slides show up in vendor headcount and the P&L.
- Create and maintain cost per case, cost per hour and productivity measures by vendor, site and workflow.
- Spot and size opportunities to consolidate vendors and sites, harmonize rates and change mix. Present recommendations at a quarterly vendor economics review chaired by the Finance Lead.
- Use and improve AI agents and automated tools for forecasting, reconciliation, variance analysis and commentary. Share prompts and tools with the team, and retire manual processes when better options appear.
Skills used in this role
Preferred qualifications
- Experience with vendor, BPO or shared-services economics (rate cards, staffing and work-driver models, productivity, cost to serve).
- Experience reconciling operational data (hours, volumes) against financial data (invoices, actuals).
- Experience with SQL, BI or analytics tools, and with generative AI tools in finance workflows.
- Experience influencing senior stakeholders without formal authority, including challenging plans with data.
- Ability to work across time zones and with distributed teams (India and US), and to turn complex analysis into a clear commercial recommendation.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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