Manager, Data Engineering and Supply Chain Analytics
- Compensation
- Not disclosed
- Location
- Fort Walton Beach, Florida
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 8+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's degree in Engineering, Computer Science, Information Systems, Mathematics, or a related field.
- 8+ years of experience in data management, analytics, or business intelligence.
- Strong proficiency in SQL, SSIS, SSAS, Python, and related data management technologies.
- Experience developing dashboards and visualizations using Tableau, Power BI, or similar platforms.
- Experience leading cross-functional initiatives and serving as a liaison between business and technical teams.
- Knowledge of data governance, data quality, and enterprise data management best practices.
- Strong communication and presentation skills, including experience presenting to senior leadership.
- Demonstrated business acumen and the ability to translate complex technical concepts into actionable business insights.
- Proven ability to influence stakeholders and drive results within complex organizational environments.
- Ability to thrive in a fast‑paced environment with shifting priorities.
- Excellent problem‑solving abilities and strong attention to detail.
- Ability to communicate effectively across organizational levels and functional domains.
- Flexibility to work outside standard business hours during critical issues or system transitions.
Nice to have
- Supply Chain experience (risk, compliance, procurement, or operations).
- Experience with predictive analytics for supplier risk identification.
- Experience with ERP systems.
- Experience with Source‑to‑Pay (S2P) platforms such as Ivalua.
- L2 Technical Certification for Ivalua (strongly preferred).
- Ability to translate complex technical concepts into actionable insights for non‑technical audiences.
Full description
Job Description 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 ResponsibilitiesData 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.