
Manager, Data Engineering and Supply Chain Analytics
Fort Walton Beach, FLFull-time$107–181K/yrSeen 2w agoSeen in employer's feed today
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
BAE Systems seeks a Senior Principal Data Engineer to lead enterprise data management and analytics initiatives focused on Supply Chain data, governance, and risk. The role combines hands-on dashboard and analytics development with project leadership for a global Supply Chain database. It partners across IT, Supply Chain, and global stakeholders to align architecture, integration, governance, and business requirements.
Skills & qualifications
Skills
Qualifications
Benefits
Full job 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 Responsibilities
Data Engineering & Architecture
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Act as the key liaison between Supply Chain and IT to align business requirements with data solutions.
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Collaborate with technical teams to develop data models that support reporting, analytics, and governance.
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Leverage Python and analytical tools to deliver insights, automation, and data-driven decision support.
Global Supply Chain Database Leadership
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Serve as the primary liaison between IT and Supply Chain , ensuring alignment of business requirements and technical architecture for global solutions.
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Comanage the strategic initiative to design and deliver a global Supply Chain database , including data architecture, integration strategy, and governance models.
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Partner with IT Solution Architects, Data Governance teams, Supply Chain leaders, and global sector stakeholders.
Analytics, Visualization & Insight Delivery
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Develop and maintain dashboards in Tableau or Power BI.
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Analyze large datasets to detect trends, patterns, risks, and opportunities.
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Present insights to senior leadership in clear and actionable formats.
Data Quality & Governance
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Implement automated data extraction, transformation, cleansing, and metric generation.
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Ensure data consistency across systems and correct data quality issues proactively.
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Support governance frameworks and compliance requirements.
Supplier Risk, Compliance & Strategy
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Conduct supplier risk analytics using multidimensional data sources.
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Support development of crossfunctional, data-driven risk mitigation strategies.
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Partner with Compliance, Procurement, IT, and operational stakeholders.
Cross-Functional Collaboration & Leadership
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Provide mentorship, technical guidance, and best practices to team members.
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Lead global data harmonization efforts and contribute to long-term modernization roadmaps.
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Act as a connector between technical and business teams, ensuring consistent communication and shared understanding.
Required Education, Experience, & Skills
Requirements
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Bachelor's degree in Engineering, Computer Science, Information Systems, Mathematics, or a related field.
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8 years of experience in data management, analytics, or business intelligence.
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Strong proficiency in SQL, SSIS, SSAS, Python, and related data management technologies.
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Experience developing dashboards and visualizations using Tableau, Power BI, or similar platforms.
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Experience leading cross-functional initiatives and serving as a liaison between business and technical teams.
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Knowledge of data governance, data quality, and enterprise data management best practices.
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Strong communication and presentation skills, including experience presenting to senior leadership.
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Demonstrated business acumen and the ability to translate complex technical concepts into actionable business insights.
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Proven ability to influence stakeholders and drive results within complex organizational environments.
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Ability to thrive in a fastpaced environment with shifting priorities.
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Excellent problemsolving abilities and strong attention to detail.
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Ability to communicate effectively across organizational levels and functional domains.
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Flexibility to work outside standard business hours during critical issues or system transitions.
Preferred Education, Experience, & Skills
Preferred Qualifications
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Supply Chain experience (risk, compliance, procurement, or operations).
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Experience with predictive analytics for supplier risk identification.
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Experience with ERP systems.
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Experience with SourcetoPay (S2P) platforms such as Ivalua.
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L2 Technical Certification for Ivalua (strongly preferred).
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Ability to translate complex technical concepts into actionable insights for nontechnical audiences.
Pay Information
Full-Time Salary Range: $106654 - $181311
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20 hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
Manager, Data Engineering and Supply Chain Analytics
131381BR
EEO Career Site Equal Opportunity Employer. Minorities . females . veterans . individuals with disabilities . sexual orientation . gender identity . gender expression
How this job compares
Set against the 2,923 open Data Engineering jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This posting$107–181K/yr
- Florida median$100–204K/yr84 salary ranges
- US median$125–213K/yr2,322 salary ranges
This range's midpoint, $144K, is 13% below the Florida median midpoint ($166K) — in the middle half of Data Engineering salary ranges in Florida.
- Openings
- Olive Jobs lists 111 open Data Engineering jobs in Florida and 2,923 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 8 years of experience; Data Engineering postings that state a minimum ask for 5 years at the median (2,488 postings).
- Education
- This posting asks for a bachelor's degree; 1,088 of the 2,923 open Data Engineering jobs (37%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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