BAE Systems, Inc. is seeking a highly accomplished and forward-thinking Senior Principal Data Engineer to lead enterprise data management and analytics initiatives with a primary focus on Supply Chain data aggregation, governance, and risk analytics. This role will drive cross-functional collaboration, support data strategy initiatives, and enhance the organization's ability to leverage data for informed business decision-making. The ideal candidate brings experience working with enterprise data environments, data integration processes, and business intelligence solutions. A strong understanding of data engineering technologies such as SSIS, SSAS, Python, Tableau, and Power BI is required to effectively partner with technical teams, develop scalable data solutions, and deliver actionable insights to business stakeholders. In addition to providing project leadership, this individual will be responsible for the hands-on development of dashboards, reports, and analytics solutions that support Supply Chain performance, risk management, and strategic decision-making. The ability to translate business requirements into meaningful visualizations and data-driven recommendations is essential. A key responsibility of this role is serving as the primary liaison between IT and Supply Chain, leading the planning, coordination, and execution of the enterprise initiative to build a global Supply Chain database. The successful candidate will act as the Supply Chain project lead, working closely with technical teams, Supply Chain leadership, and global stakeholders to ensure alignment on data architecture, governance, project objectives, and long-term business requirements. The successful candidate must possess sufficient technical expertise to understand system architecture, data structures, integration requirements, and analytics best practices, while also driving project execution, managing risks, coordinating stakeholders, and ensuring the successful delivery of strategic Supply Chain initiatives. This individual will play a critical role in advancing BAE Systems' data-driven Supply Chain capabilities by combining technical proficiency with strong project leadership and business collaboration skills. Key Responsibilities Data Engineering & Architecture • Act as the key liaison between Supply Chain and IT to align business requirements with data solutions. • Collaborate with technical teams to develop data models that support reporting, analytics, and governance. • Leverage Python and analytical tools to deliver insights, automation, and data-driven decision support. Global Supply Chain Database Leadership • Serve as the primary liaison between IT and Supply Chain, ensuring alignment of business requirements and technical architecture for global solutions. • Co‑manage the strategic initiative to design and deliver a global Supply Chain database, including data architecture, integration strategy, and governance models. • Partner with IT Solution Architects, Data Governance teams, Supply Chain leaders, and global sector stakeholders. Analytics, Visualization & Insight Delivery • Develop and maintain dashboards in Tableau or Power BI. • Analyze large datasets to detect trends, patterns, risks, and opportunities. • Present insights to senior leadership in clear and actionable formats. Data Quality & Governance • Implement automated data extraction, transformation, cleansing, and metric generation. • Ensure data consistency across systems and correct data quality issues proactively. • Support governance frameworks and compliance requirements. Supplier Risk, Compliance & Strategy • Conduct supplier risk analytics using multidimensional data sources. • Support development of cross‑functional, data-driven risk mitigation strategies. • Partner with Compliance, Procurement, IT, and operational stakeholders. Cross-Functional Collaboration & Leadership • Provide mentorship, technical guidance, and best practices to team members. • Lead global data harmonization efforts and contribute to long-term modernization roadmaps. • Act as a connector between technical and business teams, ensuring consistent communication and shared understanding.