AI Transformation Lead, GTM

Minimum qualifications:

• Bachelor's degree in Business, Data Science, Economics, or a related field, or equivalent practical experience.
• 4 years of experience in a management consulting, sales operations, business strategy or corporate advisory role.

Preferred qualifications:

• Experience building, prototyping, or implementing AI workflows, agents, or automated data pipelines to solve real-world business problems.
• Demonstrated expertise in leading organizational change, onboarding non-technical teams to new tools, and running enablement or training programs.
• Proven ability to work independently with high autonomy, manage complex cross-functional stakeholders, and transform early-stage concepts into fully executed operational solutions.
• Exceptional, proven ability to conduct complex data modeling, translate ambiguous business questions into analytical frameworks, and leverage advanced data visualization tools to deliver decisive business insights.

About the job

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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

France: €80000 - €82000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Draw interpretable insights from sophisticated business analyses and advanced modeling.
• Design processes, tools, and operating cadences to achieve organizational outcomes.
• Develop comprehensive sales, product or business strategies that solve complex business challenges and address the needs of customers and stakeholders across various functions to drive incremental growth.
• Communicate data-driven recommendations to leadership and to the broader organization by preparing polished presentations and identifying key takeaways.
• Define actionable plans and roadmaps and align cross-functional stakeholders to drive successful implementation of change initiatives.