Google Cloud Platform Architect

Responsibilities include:

• Leading the architecture and development of cloud-native augmented analytics solutions on Google Cloud Platform, using BigQuery, Looker, Vertex AI, and other Google Cloud technologies.
• Building and scaling Gen AI applications using Vertex AI to support dynamic planning, financial scenario modeling, predictive forecasting, and automated executive summaries.
• Partnering with FP&A leaders and business units to translate complex financial objectives into actionable AI-driven data products.
• Designing robust semantic layers and financial data models in Looker to support advanced self-service reporting and ad hoc analysis.
• Orchestrating end-to-end data pipelines from ingestion to insight using Dataflow, Cloud Composer, and Cloud Functions with enterprise-scale governance.
• Enabling automated insights generation, anomaly detection, and natural language narratives to accelerate decision-making across finance operations.
• Leading initiatives to operationalize ML models for cost optimization, revenue forecasting, margin analysis, and risk detection.
• Driving continuous improvements in dashboard performance, UI/UX, and data trust through scalable frameworks and CoE-led best practices.
• Providing technical mentorship to analysts, engineers, and data scientists across the FPAS ecosystem.

What we re looking for...

You ll need to have:

• Bachelor s degree or four or more years of relevant work experience.
• Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• Six or more years of hands-on experience in analytics, data engineering, or financial data architecture.
• Expert-level proficiency in Google Cloud Platform, with deep knowledge of BigQuery, Looker, and Vertex AI.
• Proven experience delivering Gen AI or LLM-powered applications (e.g., summarization, classification, scenario generation).
• Strong experience and skills in SQL, Python, Spark, and pipeline orchestration tools.
• Demonstrated success in developing enterprise-level analytics platforms that deliver actionable insights for finance or strategy teams.
• Experience designing financial reporting and planning systems, with a focus on performance, flexibility, and usability.

Even better if you have one or more of the following:

• Master's degree in Finance, Computer Science, Data Science, or a related technical field.
• Excellent communication and storytelling skills to engage senior finance leadership.
• Experience with AI-driven forecasting, driver-based modeling, or scenario planning in FP&A contexts.
• Strong background in LLM prompt engineering, model tuning, and in-context learning using Vertex AI.
• Familiarity with financial and operational data sets such as general ledger, OPEX, CAPEX, revenue streams, and business KPIs.
• Experience with advanced visualization best practices and UX/UI design in Looker.
• Knowledge of data governance, data mesh, and multi-tenant environments in a financial systems context.
• Leadership experience in building and scaling Gen AI capabilities across finance functions.