Senior Data Architect - Supply Chain

**Summary:** Meta's Reality Labs Supply Chain is seeking a Senior Data Architect to define the target-state performance data architecture for supply chain measurement. In this role, you will design metric models, KPI taxonomies, scorecard frameworks, and alerting architectures that give the organization a single, consistent view of supply chain performance across planning, manufacturing, logistics, quality, and fulfillment. You will serve as the technical authority on performance data modeling and measurement architecture, bringing metrics into a unified measurement layer structured for executive reporting, operational alerting, and AI-driven decision-making. **Required Skills:** Senior Data Architect - Supply Chain Responsibilities: 1. Define and maintain the performance data model—a unified schema representing supply chain KPIs across all domains with consistent entity definitions, time grains, and dimensional hierarchies 2. Own the performance layer reference architecture, defining how data flows from source systems through transformation into metric computation engines and serving layers (dashboards, scorecards, alerts, AI agents) 3. Design the metric computation framework with standardized patterns for KPI calculation (actuals vs. targets, rolling averages, period-over-period, statistical process control) that replace ad-hoc approaches 4. Own the KPI taxonomy—the hierarchical structure connecting executive-level metrics (OTIF, total cost, quality index) to operational drivers to root-cause indicators 5. Define metric certification standards and the governance process metrics must pass before appearing in official reporting 6. Design the threshold and target management framework, organizing how targets cascade from VP-level to operational bounds, including seasonal adjustments and plan changes 7. Architect the scorecard computation engine, determining how individual KPIs roll up into composite scores with consistent red/amber/green status for leadership reviews 8. Design the performance alerting framework with threshold-based alerts, trend-break detection, and anomaly identification that distinguish real degradation from noise 9. Drive alignment on metric definitions and measurement standards across all functions and programs without direct authority, serving as the technical authority in architecture reviews 10. Mentor analysts, data engineers, and BI developers in performance data modeling 11. establish measurement architecture standards that become self-sustaining across the organization **Minimum Qualifications:** Minimum Qualifications: 12. 10+ years of experience in data architecture, analytics engineering, or BI platform architecture with progressive scope 13. Experience with dimensional modeling, metric computation frameworks, and performance management system design 14. Experience with modern data platforms (Databricks, Spark, Snowflake, or equivalent) at enterprise scale 15. Experience designing KPI frameworks and measurement systems for complex operations (supply chain, manufacturing, logistics, or comparable) 16. Experience with statistical process control, time-series analytics, and anomaly detection approaches 17. Track record of defining metric governance and KPI standardization across multi-team organizations 18. Experience influencing senior leadership and driving cross-functional alignment without direct authority **Preferred Qualifications:** Preferred Qualifications: 19. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 20. Supply chain or manufacturing performance management experience (SCOR model, OTD/OTIF measurement, yield tracking) 21. Experience translating complex measurement architecture into business impact for non-technical audiences 22. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 23. Experience with AI/ML approaches for anomaly detection in operational metrics 24. Experience with real-time and near-real-time data architectures (streaming, CDC, event-driven patterns) 25. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) **Public Compensation:** $181,000/year to $249,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.