Meta(Meta Platforms)岗位:Senior Data Architect - Supply Chain Responsibilities
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
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)
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
Own the KPI taxonomy—the hierarchical structure connecting executive-level metrics (OTIF, total cost, quality index) to operational drivers to root-cause indicators
Define metric certification standards and the governance process metrics must pass before appearing in official reporting
Design the threshold and target management framework, organizing how targets cascade from VP-level to operational bounds, including seasonal adjustments and plan changes
Architect the scorecard computation engine, determining how individual KPIs roll up into composite scores with consistent red/amber/green status for leadership reviews
Design the performance alerting framework with threshold-based alerts, trend-break detection, and anomaly identification that distinguish real degradation from noise
Drive alignment on metric definitions and measurement standards across all functions and programs without direct authority, serving as the technical authority in architecture reviews
Mentor analysts, data engineers, and BI developers in performance data modeling; establish measurement architecture standards that become self-sustaining across the organization
Minimum Qualifications
10+ years of experience in data architecture, analytics engineering, or BI platform architecture with progressive scope
Experience with dimensional modeling, metric computation frameworks, and performance management system design
Experience with modern data platforms (Databricks, Spark, Snowflake, or equivalent) at enterprise scale
Experience designing KPI frameworks and measurement systems for complex operations (supply chain, manufacturing, logistics, or comparable)
Experience with statistical process control, time-series analytics, and anomaly detection approaches
Track record of defining metric governance and KPI standardization across multi-team organizations
Experience influencing senior leadership and driving cross-functional alignment without direct authority
Preferred Qualifications
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Supply chain or manufacturing performance management experience (SCOR model, OTD/OTIF measurement, yield tracking)
Experience translating complex measurement architecture into business impact for non-technical audiences
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience with AI/ML approaches for anomaly detection in operational metrics
Experience with real-time and near-real-time data architectures (streaming, CDC, event-driven patterns)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses.
When Facebook launched in 2004, it changed the way people connect.
Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.
Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America:$181,000/year to $249,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location.
Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.
In addition to base compensation, Meta offers benefits.
Learn more about benefits at Meta.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
Apply for this job
Take the first step toward a rewarding career at Meta.
Apply now APPLY NOW Find your role Explore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you. View jobs
Recruiters can view your conversations with AI. Using AI is optional and does not impact the outcome of your application process.Learn more about AI usage and settings.
Sign up
to ask follow-up questions
Job Search
Technology Teams
Artificial Intelligence
Creative
Infrastructure
Metaverse and Wearables
Product and Program Management
Research and Data
Security
Software Engineering
Business Teams
Business Operations
Partnerships
Sales and Marketing
Career Programs
Research
Accelerate Eng Talent
Students and Grads
Rotational Programs
Working at Meta
Accessiblity and Engagement
Benefits
Culture
Hiring Process
My account
Career profile
Account settings
Messages
Meta Careers Blog
Meta Tech Podcasts
About us
About Meta
Media gallery
Brand resources
For investors
Looking for contractor roles?
Community Standards
Data Policy
Terms
Cookie Policy
Equal Employment Opportunity Metais proud to be an Equal Employment Opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
If you need assistance or an accommodation due to a disability, fill out the Accommodations request form Notice regarding automated employment decision tools in New York City Learn more about this here.
©2026 Meta.
If you have any trouble, you can report an issue
Report a bug