Lockheed Martin · 15 hours ago
SCM Data Fusion Architect, Sr. Staff
Highlands Ranch, CO
Full-time
Onsite
Senior Level, Lead/StaffLockheed Martin is a leader in aerospace and defense, and they are seeking a Senior Staff SCM Data Fusion Architect to develop AI-enabled decision support tools that integrate supply chain data with market intelligence. This role involves collaborating with various teams to define data specifications, design data models, and ensure effective data ingestion processes to enhance sourcing decisions and supply chain resiliency.
AerospaceCyber SecurityMachinery ManufacturingMilitaryNational SecurityRemote SensingSecurity
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Capture & Prioritize Requirements: Collaborate with SCM, Strategic Business Development, the Corporate AI/ML Council, and AI/ML engineering teams to define, rank, and document data, model, and interface specifications
Design the Supplier Data Fabric: Partner with developers and domain experts to architect a unified data foundation that represents supplier performance, capabilities, financial health, and strategic alignment
SCM Project lead: Establish market intelligence resiliency tool timelines, monitor milestones, manage cross team dependencies, and keep senior leadership informed of progress and risks
Validate AI Features & Models: Work closely with AI/ML scientists to ensure feature integrity, track model performance, and embed explainability techniques (e.g., SHAP) into risk scoring visualizations
Drive Continuous Improvement: Analyze usage data, collect user feedback, and review operational metrics to iteratively refine ingestion pipelines, feature definitions, and UI/UX designs
Enable & Mentor Users: Conduct training and knowledge transfer sessions for SCM and business development teams so they can confidently apply AI derived insights for “blue green” supplier expansion and proactive Phase Out decisions
Implement Automated Ingestion: Guide developers in building end to end pipelines that pull from internal and external feeds, normalize data to a canonical schema, and maintain data quality standards
Qualification
Required
Advanced Analytics & Problem Solving – Ability to ingest, cleanse, and analyze large, heterogeneous data sets; identify patterns and devise creative, scalable solutions to complex integration and AI challenges
Data Architecture & Engineering – Deep experience designing canonical data models, event driven ingestion pipelines (Kafka, Azure Event Hub, Kinesis) and batch ETL (Airflow, Data Factory, dbt) on modern cloud platforms (Azure Synapse, Snowflake, BigQuery)
AI/ML Enablement – Proven track record partnering with data science teams to define, train, validate, and operationalize predictive models; familiarity with feature store concepts, model serving APIs, and explainability tools (SHAP, LIME)
Supply Chain & Procurement Knowledge – Strong background with ERP, SRM, contract management and PLM systems; fluent in supplier performance metrics, cost of poor performance (CoPP), and the 1LMX Risk Based Assessment Tool/ROADs framework
Risk & Resilience Management – Ability to assess, quantify, and mitigate supplier related risks, including single source exposure, capacity gaps, and supply chain disruptions
Process Improvement & Automation – Apply Lean/Agile principles to streamline data flows, automate manual tasks, and continuously refine pipelines, feature definitions, and user experience designs
Strategic & Business Thinking – Translate corporate objectives (MSAC, MFA, program roadmaps) into data driven roadmaps that align sourcing, cost to serve, and capacity planning with overall business strategy
Data Driven Decision Support – Design and deliver dashboards, KPI visualizations, and a 'Resiliency Cockpit' that turn raw data into actionable insights for faster, evidence based decisions across design to delivery cycles
Communication & Stakeholder Influence – Excellent verbal and written skills; act as the primary technical liaison between Supply Chain Management, Strategic Business Development, the AI/ML Council, and IT teams, influencing senior leadership and external partners
Business Acumen & Financial Insight – Deep understanding of finance, cost modeling, contract economics, and aerospace standards (ISO 9001, AS9100); use this knowledge to drive win rate improvements, cost reductions, and schedule reliability
Benefits
Competitive and comprehensive benefits package
Company
Lockheed Martin
Lockheed Martin is a global security and aerospace company that specializes in advanced technology systems, products, and services. It is a sub-organization of Lockheed Martin.
Founded in 1912
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$6.06BKey Investors
Air Force Research Laboratory
2025-12-05Post Ipo Debt· $3B
2025-08-28Post Ipo Debt· $3B
2023-11-13Grant· $33.7M
Leadership Team
Jim Taiclet
Chairman, President & CEO
Craig Martell
Chief Technology Officer
Recent News
2026-01-22
2026-01-17
Technology - WSJ.com
2026-01-17
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