Lead, Data and Modeling, Workplace Programs

Google•Boulder, CO

4d•$219,000 - $305,000

About The Position

Serving as the primary architect for essential workplace data assets across financial, analytical, and planning domains, the Lead establishes a culture of data excellence. The role directs data governance, management, and quality assurance for workplace datasets used in AI modeling operations. Managing the complete data lifecycle amid high ambiguity, the Lead ensures information remains accurate, current, and objective. Operating as an experienced leader in a matrixed structure, the role translates complex financial and operational analytics into executive-ready narratives that inform strategic decisions. The Lead also frames complex data studies to uncover trends and project efficiency gains, delivering strategic recommendations and updates to executive leadership. The role is part of Google’s Real Estate and Workplace Services (REWS) team, which creates inspiring spaces and innovative services and builds and maintains the operations of Google workspaces across multiple cities and regions globally. REWS also manages services related to workspace design, food, transportation, fitness, and employee environments.

Requirements

Bachelor’s degree in Finance, Business, or another quantitative/analytical discipline, or equivalent practical experience.
10 years of experience in business analysis, financial planning (FP&A), investment banking, consulting, data analysis, or market research, and experience translating raw data into insights and recommendations.
8 years of experience leading cross-functional projects and managing executive stakeholder relationships.

Nice To Haves

MBA or professional certification in a quantitative field.
Experience managing cross-functional relationships and influencing leadership across Operations, Data, and Finance organizations.
Experience using SQL, statistical modeling, data visualization, and AI tools to synthesize datasets, accelerate modeling, and uncover business trends.
Ability to translate business concepts into clear ROI-driven narratives for executive-level decision-making.

Responsibilities

Define and oversee end-to-end data strategy for the REWS Workplace Programs organization, including intake, management, and scaling of enterprise-quality datasets, ensuring data accuracy and lack of bias.
Translate complex concepts and metrics into concise executive narratives and actionable recommendations to guide strategic decision-making.
Drive ad-hoc strategic projects, including ROI analysis and business cases, to influence prioritization and guide teams on data best practices.
Develop, enhance, and monitor metrics against key business outcomes.
Support a robust, data-driven annual business planning process and land plans in partnership with Finance and multiple cross-functional stakeholders.