G

Google

Runs Search and YouTube and builds Gemini AI

Lead Data and Modeling - Workplace Programs

Business OperationsConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in Finance, Business, or another quantitative or analytical discipline, or equivalent practical experience.
  • At least 10 years of experience in business analysis, financial planning and analysis, investment banking, consulting, data analysis, or market research, including experience translating raw data into insights and recommendations.
  • At least 8 years of experience leading cross-functional projects and managing executive stakeholder relationships.
  • Experience managing cross-functional relationships and influencing leadership across Operations, Data, and Finance organizations.
  • Experience using SQL, statistical modeling, data visualization, and artificial intelligence tools to synthesize datasets, accelerate modeling, and uncover business trends.

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 return-on-investment 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.
  • Serve as the primary architect for essential workplace data assets across financial, analytical, and planning domains, establishing a culture of data excellence.
  • Direct data governance, management, and quality assurance for workplace datasets used in artificial intelligence modeling operations.
  • Manage the complete data lifecycle in a high-ambiguity environment, ensuring information remains accurate, current, and objective.
  • Translate complex financial and operational analytics into executive-ready narratives that inform strategic decisions.
  • Frame complex data studies to uncover trends and project efficiency gains, delivering strategic recommendations and updates to executive leadership.

Desired Qualifications

  • An MBA or professional certification in a quantitative field.
  • Ability to translate business concepts into clear, return-on-investment-driven narratives for executive-level decision-making.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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