Manager, Analytics & Agentic Platform Operations
Listed on 2026-06-21
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IT/Tech
AI Engineer (Applied/Software), Data Engineering, Cloud Computing: Infrastructure & Operations
About Us
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 DescriptionJob 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.
- Security & Access Control (Execution):
Implement and maintain granular security protocols to protect sensitive data. This includes writing and managing scripts for Row Level Security (RLS), Column Level Security (CLS), and Object Level Security (OLS) to ensure strict data isolation and PII protection across the platform. - Agent Orchestration & AI-Driven Infrastructure:
Act as an agent orchestrator - leveraging AI to build out and maintain the platform itself. Design and run AI agents on automated loops, and develop self-running frameworks that continuously validate the environment and flag inconsistencies (security drift, schema changes, broken lineage) before they become problems. Build and operationalize MCP servers, automation agents, and copilots that enable natural-language data access and self-healing pipelines. - 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 Git Hub Action workflows to ensure database changes, pipeline deployments, and infrastructure updates are deployed smoothly across Dev, Test, and Prod environments with minimal manual intervention. - Fin Ops & 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. - Data Observability:
Implement monitoring alerts (using SQL or third-party tools) to detect "silent" data failures - such as stale data, schema drift, or volume anomalies - before they impact business users. Extend the same rigor to AI workloads - monitoring agent and model behavior for drift, errors, and runaway loops.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications Basic Qualifications- 5 or more years of relevant work experience
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