Lead, Data and Modeling, Workplace Programs

Serving as the primary architect for essential workplace data assets across financial, analytical, and planning domains, the Lead establishes a culture of data excellence. In this role, you will direct data governance, management, and quality assurance for workplace datasets utilized in AI modeling operations. Managing the complete data lifecycle amid high ambiguity, you will ensure information remains accurate, current, and objective. As an experienced leader operating within a matrixed structure, you will translate complex financial and operational analytics into impactful, executive-ready narratives that inform strategic decisions. Additionally, you will frame complex data studies to uncover trends and project efficiency gains, delivering strategic recommendations and updates to executive leadership.

The Real Estate and Workplace Services (REWS) team creates inspiring spaces and innovative services that bring Google’s culture and values to life. We build and maintain all aspects of what keeps our Googley workspaces operating seamlessly across multiple cities and regions globally. We also manage the industry-leading services that help make Google a great place to work -- from how we design healthy and collaborative workspaces, create energizing food experiences, provide convenient transportation and fitness options, to delivering environments where Google and our employees can thrive.

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.

Minimum qualifications:

• 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.

Preferred qualifications:

• 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.