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Hybrid Senior Networking Solution Architect – Supply Chain Analytics
Posted 6 days ago
About the role
- Senior Networking Solution Architect designing cloud-based analytics architectures for Supply Chain at Hewlett Packard Enterprise. Collaborating globally to enhance data solutions and driving operational support strategies.
Responsibilities
- Design and evolve cloud‑based and big‑data analytics architectures supporting Aruba Supply Chain reporting, risk assessment, and forecasting use cases.
- Architect end‑to‑end analytical data pipelines , integrating data from enterprise systems such as SAP (S/4), SC360, EGI, MSP Workbench, and other upstream sources.
- Define and maintain data models, transformation logic, and metadata standards to ensure consistency across global reporting.
- Own and continuously enhance material risk and backlog risk assessment frameworks , incorporating multiple hold codes, shortage classifications, and confidence modeling techniques.
- Develop and maintain order conversion rate methodologies , including historical analysis, scenario modeling, and quarter‑specific assumptions to support revenue and load projections.
- Deliver analytics that enable proactive identification of material shortages, backlog exposure, fulfillment risks, and revenue impacts.
- Build and maintain enterprise‑grade BI dashboards and reports (e.g., Power BI and Excel‑based models) used in weekly, monthly, and quarterly executive forums.
- Ensure reporting accuracy for key metrics.
- Translate complex analytical outputs into clear, decision‑ready insights for senior leaders across Supply Chain, S&OP, and Global Operations.
- Drive automation of data extraction, transformation, and reporting workflows , reducing manual effort and improving reliability.
- Partner with IT and platform teams to support data infrastructure hardening , including staging server capacity, performance tuning, and pipeline stability.
- Act as a key analytical escalation point for time‑sensitive operational issues , such as shipment discrepancies, serial number investigations, valuation anomalies, and PO recovery.
- Support Quality Engineering, Planning, and Fulfillment teams with ad‑hoc deep‑dive analytics during critical incidents.
- Collaborate closely with Supply Planning, Procurement, Manufacturing, S&OP, Finance, and IT teams across regions (AMS, EMEA, APJ).
Requirements
- Master’s degree in Data & Analytics, Data Architecture, Information Technology, Supply Chain, or a related field or equivalent practical experience.
- 10+ years of experience in Data & Analytics, Data Architecture, Supply Chain Analytics, or enterprise IT environments.
- Strong experience with Big Data platforms and Data Warehousing.
- Analytical data modeling and solution design.
- SQL‑based data analysis and transformation.
- BI and visualization tools (e.g., Power BI, advanced Excel models).
- Familiarity with cloud data platforms and modern analytics tools (e.g., Snowflake, Python‑based automation).
- Understanding of ETL/ELT patterns, metadata management, and operational data stores.
- Solid understanding of Supply Chain concepts including: Backlog and order management, Shipments and fulfillment flows, Material shortages and risk categorization, Revenue projection and conversion dynamics.
- Strong analytical and problem‑solving skills with attention to detail.
- Ability to communicate complex technical concepts clearly to both technical and non‑technical audiences.
- Proven accountability, sense of urgency, and comfort operating in high‑visibility environments.
- Integrity and discretion in handling confidential and sensitive business data.
Benefits
- Health & Wellbeing
- Personal & Professional Development
- Unconditional Inclusion
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