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Verizon connects people, businesses, and communities to the networks and technologies that move the world forward. From 5G and fiber to cloud, security, and edge solutions, we build and operate critical infrastructure at global scale—and we never stop improving it. Our teams tackle real-world challenges, power essential services, and create products customers rely on every day.
We’re a culture of builders and problem-solvers who believe the best ideas win. Here you’ll find inclusive teams, room to grow, and the chance to do work that matters—backed by the resources of a technology leader. If you’re driven by impact, inspired by innovation, and excited to learn, Verizon is where you can do the best work of your career.
Verizon is an equal opportunity employer. We celebrate diversity and are committed to providing an inclusive environment for all employees.
GCP AI Architect
Verizon
On-site
Basking Ridge, NJ, United States
Full-time
$137,000 -
$263,000
About Verizon
About the Role
Join Verizon’s Financial Planning & Analytics Systems (FPAS) Augmented Analytics team as a Distinguished Engineer and lead the charge in transforming financial intelligence through Google Cloud Platform (GCP), BigQuery, Looker, and Gen AI. You’ll be a strategic technologist who partners closely with finance, strategy, and engineering stakeholders to develop scalable, AI-powered analytics solutions that drive insights, forecast performance, and optimize financial outcomes.
This is a high-visibility, impact-driven role where you’ll architect next-gen data ecosystems, enable intelligent automation through Vertex AI, and redefine how financial decisions are made through data-driven storytelling.
This is a high-visibility, impact-driven role where you’ll architect next-gen data ecosystems, enable intelligent automation through Vertex AI, and redefine how financial decisions are made through data-driven storytelling.
Qualifications
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.
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.
Responsibilities
Leading the architecture and development of cloud-native augmented analytics solutions on GCP, 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.
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.
Benefits
From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, stock incentive programs, up to 8 company paid holidays per year and up to 6 personal days per year, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package.
