Manager, Analytics & Agentic Platform Operations

About the role

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Job Summary: We are seeking a Manager of Analytics & Agentic Platform Operations to build and run our data platform end-to-end. You will be the hands-on owner of our Microsoft Fabric and Azure environment-not only ensuring the "health of the pipes" (stability, security, cost, and automation), but actively building the pipes: designing data pipelines within Fabric and developing the agentic AI solutions that run on top of them. Critically, you are an agent orchestrator-leveraging AI to build out the infrastructure itself, directing agents that execute on loops and standing up automated frameworks that continuously flag inconsistencies across the environment. You are equal parts platform operator and builder, acting as the bridge between high-level architecture and daily execution while pushing the platform toward an AI-first, self-operating future.

Responsibilities

• Data Pipeline Development (Fabric): Design, build, and orchestrate data pipelines and Spark/PySpark notebooks within Microsoft Fabric-ingesting, transforming, and moving data across the Bronze/Silver/Gold medallion architecture to deliver reliable, production-grade datasets.
• Platform Administration: Manage the daily operations of Microsoft Fabric Capacities and Azure resources. Monitor system health, troubleshoot failed pipelines, and resolve connectivity issues for the analytics team.
• Infrastructure as Code (CI/CD): Maintain GitHub Action workflows to ensure database changes, pipeline deployments, and infrastructure updates are deployed smoothly across Dev, Test, and Prod environments with minimal manual intervention.
• FinOps & Cost Monitoring: Take direct ownership of cloud and AI spend. Track daily consumption against budgets, identify "runaway" queries and inefficient agent/LLM token usage, and optimize capacity, model, and query settings to prevent billing overages.
• Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Requirements

• 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
• 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• 5+ years of experience in Data Engineering, DevOps, or Database Administration, with hands-on data pipeline development.
• Highly proficient in data and dimensional modeling and distributed systems -particularly PySpark and Hadoop.
• Data Engineering & Platforms:
• Demonstrated experience building and orchestrating data pipelines in Microsoft Fabric (Data Factory pipelines, notebooks, Lakehouse) and/or the Azure Data Stack (Synapse, Data Factory, SQL Database).
• Source-system ingestion: to ingest and pipe data into Fabric, working knowledge of Hadoop, Bash/Shell scripting and SSH, Trino and Hive SQL, and familiarity with Airflow.
• Ability to script in SQL and Python/PowerShell for automation tasks.
• AI, Agents & Observability:
• Proven ability to orchestrate AI agents -designing multi-step agentic workflows, running

Benefits

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Visa? Share your experience