This role pays less than
54%
of similar roles. Most pay
$170,000–$254,793
— the shaded band above.
At the midpoint, this role pays about
$195k
versus about
$212k
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
34 open roles
on FindRole.
Listed pay typically runs
$159,000–$257,750
across 32 roles with salary data.
The Manager, Global Distribution 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 channel data models, and engineering agentic AI process flows to monitor inventory and automate billing disputes. The role involves designing automated validation rules for incentive programs and integrating vendor provisioning systems with cloud aggregation hubs. To succeed, the candidate must possess expertise in PowerBI, Tableau, or Looker, along with proficiency in SQL, Python, and LLM APIs. Technical requirements include experience with EDI protocols, REST APIs, Webhooks, JSON, and core ERP/CRM schemas like Salesforce, SAP, or Oracle to manage complex multi-motion analytics.
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 normalize 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.
Lead technical integration projects connecting vendor provisioning systems to distributor cloud aggregation hubs across major hyperscaler marketplaces.
What we're looking for
Must have 5+ years of experience as a Data Engineer, Revenue Operations Analyst, or Business Intelligence Manager.
Experience must support 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.
Practical or conceptual experience with LLM APIs, prompt engineering, 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 and CRM data schemas such as Salesforce, SAP, or Oracle.
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