Manager, Global Distribution Analytics & AI Automation

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

Job Summary

The Manager, Global Distribution Analytics & AI Automation will serve as the core technical data and automation architect within the Global Commercial & Channel Operations team. Reporting directly to the Head of Global Distribution Strategy & Transformation, this individual is responsible for translating raw distributor data streams into real-time operational intelligence and self-executing workflow automations.

Rather than managing distributor vendor relationships directly, this role owns the underlying data pipelines, executive dashboards, incentive validation engines, and agentic process flows that ensure our global distribution channel operates with maximum profitability and minimal manual overhead.

Key Responsibilities

1. Executive Business Dashboards & Multi-Motion Analytics

• Build, maintain, and optimize production-grade business intelligence dashboards used by senior leadership to run the global distributor business.

• Synthesize cross-platform data streams to deliver consolidated, multi-regional views across all product types: Hardware (HW), Software (SW/SaaS), and Professional/Managed Services.

• Structure data architectures to track performance across distinct Go-To-Market (GTM) motions, including Distributor-Managed Reseller channels and Distributor/Channel-Owned Customer direct routes.

• Track and visualize core channel health metrics, including Weeks of Supply (WoS), inventory turn rates, stock aging, and deal registration win rates.

2. Global Channel Data Architecture & Infrastructure

• Own the global relational channel data model, unifying disparate data sets across product catalogs, distributor master records, inventory snapshots, and point-of-sale (POS) sell-through files.

• Write, maintain, and optimize complex SQL queries and data transformations to ingest weekly EDI/API data feeds from tier-1 distributors, standardizing regional currencies and localized SKUs into normalized global reporting.

• Conduct continuous data auditing to ensure high data integrity across all global distributor data pipelines.

3. Agentic AI & Workflow Automation Engineering

• Partner with enterprise IT and data engineering teams to design, test, and deploy autonomous, multi-agent AI process flows.

• Configure logic loops (Observation $\rightarrow$ Planning $\rightarrow$ Action) to automatically monitor inventory data, detect stockout/excess risks, and stage targeted rebate or promotional interventions for human approval.

• Implement document processing and AI-assisted workflows to automate the ingestion and initial triage of distributor billing disputes and proof-of-performance (PoP) documentation.

4. Incentive Automation & Financial Reconciliation

• Architect automated validation rules mapping daily POS transaction data against active Special Pricing Agreements (SPA) and volume rebate tiers to eliminate margin leakage.

• Maintain real-time inventory tracking logic to dynamically calculate price protection credits and stock rotation eligibility when MSRP adjustments occur.

5. Cloud Marketplace Integration & Technical Transformation

• Serve as the technical data lead for channel transformation projects connecting vendor provisioning systems to distributor cloud aggregation hubs (e.g., CloudBlue, ArrowSphere).

• Monitor and audit API data streams for multi-party private offers (Vendor-to-Distributor-to-Reseller) across hyperscaler cloud marketplaces (AWS, Azure, GCP) to ensure accurate billing and usage metering.

Qualifications

• Experience: 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.

• BI & Dashboard Design: Proven track record building production-grade dashboards in PowerBI, Tableau, or Looker, specifically structured for multi-category portfolios (HW, SW, Services) and varied channel GTM models.

• AI & Automation Capabilities: Practical or conceptual experience working with LLM APIs, prompt engineering protocols, and enterprise automation platforms (Python, Zapier, Alteryx, or LangChain/CrewAI concepts).

• Technical Integration Knowledge: Strong understanding of distribution data exchange protocols (EDI 846/867, REST APIs, Webhooks, JSON) and core ERP/CRM data schemas (Salesforce, SAP, Oracle).

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at  accommodations@paloaltonetworks.com.

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.