GCP AI Architect

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What You’ll Be Doing:

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.

Responsibilities include:

• 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.

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.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled Weekly Hours

40

Equal Employment Opportunity 

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Benefits and Compensation

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. 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. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $137,000.00 - $263,000.00.