Manager, Analytics & Agentic Platform Operations

Visa

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CAFoster City, CA
Salary
$169,100–$270,800 / yr
Posted
100 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $220k
$149k most similar roles pay here $284k

This role pays more than 65% of similar roles. Most pay $164,250–$250,000 — the shaded band above. At the midpoint, this role pays about $220k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Visa

Visa Inc. is the world''s largest payment network, enabling digital payments for consumers, merchants, financial institutions, and governments through its global processing network and branded card products. Industry: Payments Technology & Financial Services

Visa currently has 95 open roles on FindRole.

Listed pay typically runs $149,200–$238,700 across 90 roles with salary data.

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At a glance

TL;DR · Manager, Analytics & Agentic Platform Operations

As a Manager, Analytics & Agentic Platform Operations, you will serve as the hands-on owner of the data platform, managing the Microsoft Fabric and Azure environment. You will build and run end-to-end data pipelines using Spark/PySpark notebooks within a medallion architecture while developing agentic AI solutions to automate infrastructure. Your role involves acting as an agent orchestrator, designing multi-step workflows and automated loops to ensure system health, security, and cost efficiency. Key responsibilities include implementing RLS, CLS, and OLS protocols, managing GitHub Action CI/CD pipelines, and monitoring LLM behavior via observability tools. You will utilize SQL, Python, PowerShell, Bash, and Trino to manage data ingestion and platform operations. This role solves the challenge of moving toward an AI-first, self-operating infrastructure by bridging high-level architecture with daily execution in a regulated environment.

What you'll do

  • Design and build data pipelines using Spark/PySpark notebooks within the Microsoft Fabric environment.
  • Orchestrate AI agents on automated loops to build, maintain, and self-heal platform infrastructure.
  • Implement granular security protocols including Row, Column, and Object Level Security for PII protection.
  • Manage daily operations of Microsoft Fabric Capacities and Azure resources while troubleshooting pipeline failures.
  • Maintain GitHub Action workflows to automate deployments across development, test, and production environments.
  • Monitor and optimize cloud and AI spend by identifying inefficient queries and managing LLM token usage.
  • Implement data observability tools to detect schema drift, stale data, and anomalies in AI workloads.

What we're looking for

  • Must have a Bachelor's degree with 5+ years of experience, an Advanced degree with 2+ years of experience, or a PhD.
  • Preferred: experience with a Bachelor's, with an Advanced degree, or with a PhD.
  • Must have experience in Data Engineering, DevOps, or Database Administration with hands-on data pipeline development.
  • Must be proficient in data and dimensional modeling and distributed systems, specifically PySpark and Hadoop.
  • Must be able to script in SQL and Python/PowerShell for automation tasks.
  • Must have experience building and orchestrating data pipelines in Microsoft Fabric or the Azure Data Stack.
  • Must have experience implementing complex security models (RLS, OLS, CLS) and using GitHub Actions for CI/CD.
  • Preferred: Experience with AI agent orchestration, LLM-powered agents, MCP servers, and LLMOps observability platforms.

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