Join gTech Ads Finance as a Vendor Economics and Opex Analyst, a pivotal role in shaping strategic financial decisions for customer experience, enablement, and sales functions. This position is instrumental in developing an AI-first finance team, automating core processes to empower professionals in focusing on critical commercial judgment and impactful business decisions.

You will be the recognized authority on vendor expenditures within gTech Ads, dissecting costs, identifying opportunities for optimization, and managing vendor and extended workforce spend. This role demands a keen understanding of cost, risk, and opportunity across various business verticals.

This is a key position for ensuring that committed savings are tangible, sustainable, and accurately reflected in the P&L. You will collaborate closely with vendor managers, operations leaders, gSO, and finance business partners across India and Mountain View.

Develop and maintain a comprehensive gTech Ads vendor opex forecast, integrating key drivers and automated baselines. Incorporate risks and opportunities provided by vendor managers and evolving business changes from vertical finance partners.

Monitor AI-driven and operational efficiency savings across verticals, comparing committed versus realized figures. Verify that savings projected in plans and presentations are reflected in vendor headcount and the P&L.

Establish and maintain critical performance metrics such as cost per case, cost per hour, and productivity measures, segmented by vendor, site, and workflow.

Identify and quantify opportunities for vendor and site consolidation, rate harmonization, and strategic mix adjustments. Present well-researched recommendations during quarterly vendor economics reviews.

Leverage and enhance AI agents and automated tools for forecasting, reconciliation, variance analysis, and commentary. Actively share prompts and tools with the team and transition away from manual processes as superior automated options become available.

A Bachelor's degree in Business, Finance, Economics, Statistics, or a related quantitative field is required, alongside equivalent practical experience.

Minimum of 4 years of experience in financial planning and analysis (FP&A), consulting, or a comparable function is essential.

Proven experience in executing full-cycle FP&A activities, including budgeting, forecasting, variance analysis, and financial modeling within a multinational corporate environment.

Preferred qualifications include expertise in vendor, BPO, or shared-services economics, encompassing rate cards, staffing, and work-driver models. Experience reconciling operational data with financial data and proficiency with SQL, BI, or analytics tools, including generative AI in finance workflows, are highly advantageous.

Demonstrated ability to influence senior stakeholders effectively without direct authority, including the capability to challenge plans with robust data-driven insights. Strong communication and collaboration skills are necessary to work across different time zones and distributed teams, translating complex analyses into clear commercial recommendations.