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Strategy and Operations Senior Associate, gSO Ads Central

Hyderabad, Telangana, India, Gurugram, Haryana, India

Job Description

The Business Strategy & Operations organization provides business critical insights using analytics, ensures cross functional alignment of goals and execution, and helps teams drive strategic partnerships and new initiatives forward. We stay focused on aligning the highest-level company priorities with effective day-to-day operations, and help evolve early stage ideas into future-growth initiatives.

The Business Strategy & Operations organization provides thought partnership to our leaders via business-critical insights and advanced analytics. The team ensures cross-functional alignment of goals, drives strategic initiatives forward, and helps evolve early-stage ideas into future-growth engines. We stay focused on aligning high-level company priorities with robust day-to-day operational execution.

We are looking for a Strategy and Operations Senior Associate to join the global Google Technical Services (gTech) team. In this role, you will serve as a trusted advisor to gTech Ads Vice Presidents (VPs) and Directors, leading the Data and BI roadmap and driving complex, global analyses to shape future strategy. Partnering closely with regional Business Operations, GTM, and cross-functional leadership, you will manage multi-product, multi-country challenges. To grow in this role, you should be an entrepreneurial, problem-solver who is equally passionate about running operational business reviews and reinventing workflows through applied AI solutions.

The Go-to-Market Operations (GtM) team ensures Google's complex and ever-evolving Ads business runs smoothly. We are instrumental in setting go-to-market strategy, and ensuring flawless execution and operations against the strategy. We have teams embedded in each of the major Ads business areas as well as global teams that work across the business areas. Team members are analytical and strategic, with a pragmatic sense of how to get things done.

Responsibilities

  • Serve as a thought partner and trusted advisor to VPs and Directors to align operational execution with the direction of Google Technical Services (gTech). Act as the Go-To-Market (GTM) lead to global GTM teams, driving and coordinating gTech operations, strategic metrics, and insights.
  • Own and lead the Business intelligence (BI) roadmap for gTech Ads Vertical teams, ensuring excellent infrastructure, metric dashboards and business intelligence. Partner with regional and vertical Strategy and Business Operations teams to deliver comprehensive business reviews and insights.
  • Identify, scope, and lead complex global analyses and projects to uncover business trends and operational efficiencies.Collaborate with cross-functional, cross-regional teams to execute on strategic recommendations and track implementation impact.
  • Identify systemic operational bottlenecks within gTech workflows. Design and deploy applied AI solutions to reinvent workflows, drive automation, and optimize resource efficiency.

Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 4 years of experience in advertising, consulting, consultative sales, business development, or a digital media environment.
  • 2 years of experience creating data sets, data modeling, and reporting.

Preferred qualifications:

  • MBA, or equivalent practical experience.
  • Experience leading cross-functional teams to design, execute, and implement complex operational initiatives that solve business problems.
  • Experience in SQL and in designing and managing data/BI roadmaps, metric dashboards, and automated reporting infrastructure.
  • Experience building practical AI solutions (e.g., Python scripting, working with APIs, prompting frameworks, or building customized AI agents/assistants) to optimize operational workflows.
  • Excellent problem-solving skills with an ability to structure ambiguous analyses and deliver clear story lines through executive-level communications and data visualizations.

About Alphabet

First seen: June 15, 2026
Last updated: June 15, 2026