This role pays less than
52%
of similar roles. Most pay
$165,500–$246,150
— the shaded band above.
At the midpoint, this role pays about
$195k
versus about
$206k
for comparable roles.
Based on 240 similar postings.
Employer
About Palo Alto Networks
Palo Alto Networks is a global cybersecurity company offering network security, cloud security, and endpoint protection solutions.
Palo Alto Networks currently has
35 open roles
on FindRole.
Listed pay typically runs
$154,000–$249,500
across 33 roles with salary data.
Manager, Global Analytics & AI Automation serves as the core technical data and automation architect within the Global Commercial & Channel Operations team. This individual is responsible for transforming raw distributor data into real-time operational intelligence and self-executing workflow automations to optimize global distribution channel profitability. Key responsibilities include building production-grade business intelligence dashboards, managing relational data models, and engineering agentic AI process flows to monitor inventory and automate billing disputes. The role involves developing automated validation rules for incentive programs and integrating cloud marketplace data from platforms like AWS, Azure, and GCP. Required skills include proficiency in SQL, PowerBI, Tableau, or Looker, along with experience in Python, Zapier, Alteryx, or LangChain/CrewAI. Technical expertise must include EDI protocols, REST APIs, Webhooks, JSON, and core ERP/CRM schemas such as Salesforce, SAP, or Oracle.
Build and optimize production-grade business intelligence dashboards to provide senior leadership with real-time global distributor insights.
Develop data architectures to track performance across hardware, software, and professional services across multiple go-to-market motions.
Manage the global relational channel data model by unifying disparate datasets from product catalogs, inventory snapshots, and point-of-sale files.
Write and optimize complex SQL queries to ingest and standardize weekly EDI/API data feeds from tier-1 distributors.
Design and deploy autonomous, multi-agent AI process flows to monitor inventory risks and automate promotional interventions.
Automate the ingestion and triage of distributor billing disputes and proof-of-performance documentation using AI workflows.
Architect automated validation rules to map transaction data against pricing agreements and volume rebate tiers to prevent margin leakage.
Lead technical integration projects connecting vendor provisioning systems to distributor cloud aggregation hubs across major hyperscaler marketplaces.
What we're looking for
5+ years of experience as a Data Engineer, Revenue Operations Analyst, or Business Intelligence Manager supporting global sales channels, supply chain, or multi-tier distribution networks.
Proven track record building production-grade dashboards in PowerBI, Tableau, or Looker for multi-category portfolios and varied channel GTM models.
Practical or conceptual experience working with LLM APIs, prompt engineering protocols, and enterprise automation platforms like Python, Zapier, Alteryx, or LangChain/CrewAI.
Strong understanding of distribution data exchange protocols including EDI 846/867, REST APIs, Webhooks, and JSON.
Proficiency in managing core ERP/CRM data schemas such as Salesforce, SAP, or Oracle.
Python
SQL
Power BI
Tableau
Looker
Snowflake
Databricks
ETL
Data Modeling
RPA
AI
Machine Learning
API Integration
Data Pipelines
Business Intelligence
Automation
AI Agents
Microsoft Copilot Studio
Microsoft 365
Microsoft Power Platform
Azure AI
Python
SQL
Databricks
Process Automation
Responsible AI
Enterprise Analytics
Data Science
Generative AI
Agentic AI
Copilot
Anthropic
OpenAI
Gemini
SAP ECC
Workday Adaptive Planning
Data Science
Process Automation
Data Governance
FP&A
ERP Systems