About the job

As the Measurement Lead for Social, you will play a pivotal role in transforming how we value social media by making measurement simple, precise, and impactful. You will serve as the bridge between technical Data Science teams and core business stakeholders to show incremental impact. In this role, you will lead the integration of Owned and Earned social data into Media Mix Models (MMM), addressing data infrastructure issues to build a measurement baseline. You will act as a subject matter expert, translating social signals from tools like Sprinklr and Brandwatch into meaningful business insights.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

Responsibilities

• Lead the initiative to integrate Owned and Earned social data into MMMs to quantify how social drives business outcomes.
• Partner with Data Solutions teams to optimize social data infrastructure and architect automated tagging protocols, taxonomy, and data pipelines.
• Execute a strategic shift in performance tracking by guiding regional teams to retire legacy formulas in favor of standardized benchmarks.
• Act as a translator between technical data engineering teams and marketing leadership to influence the adoption of new measurement frameworks.

Minimum qualifications

• Master's degree in a Science, Technology, Engineering, or Mathematics (STEM) field, or equivalent practical experience.
• 4 years of experience leading the end-to-end lifecycle of quantitative research projects.
• Experience in campaign brand lift measurement, using analytical insights to guide media planning, or using digital marketing products/processes (e.g., analytics, performance incrementality, and multi-touch attribution).
• Experience with social analytics tools (e.g., Sprinklr, Brandwatch) and social platform APIs (e.g., X, YouTube, etc.).
• Ability to communicate in English fluently with stakeholders, clients, and teams.

Preferred qualifications

• Experience leading change management initiatives, specifically transitioning large teams from legacy reporting methods to new KPI frameworks.
• Experience with Python or R for statistical analysis and data automation.
• Experience transforming complex business problems into actionable marketing recommendations.
• Knowledge of social media API constraints, data storage policies, and cross-platform data aggregation issues (e.g., understanding nuances between impressions vs. engagements and time-series accuracy).