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We are seeking a dedicated Senior Manager Enterprise Architecture with at least 8 years in enterprise architecture, data architecture, or systems architecture. The candidate will define and drive the enterprise-wide technology, application, and data architecture strategy across Bollinger Shipyards. This role establishes the architectural foundation supporting enterprise systems integration, modernization, analytics, and digital transformation initiatives. The role provides strategic oversight for how enterprise applications, operational technologies, data platforms, and digital capabilities align to business priorities and future-state operating needs.
Job Responsibility
Define and maintain enterprise architecture strategy aligned to business and technology priorities
Establish enterprise data, application, and integration architecture standards and principles
Lead enterprise application inventory, rationalization, and capability mapping efforts
Define canonical enterprise data models across key business domains including projects, cost, labor, materials, schedules, and operations
Drive alignment of backend data structures and integrations across ERP, MES, PLM, engineering, procurement, and operational systems
Establish integration standards and architectural patterns in partnership with infrastructure and integration teams
Support modernization initiatives for legacy and internally developed applications
Ensure architectural readiness for analytics, cloud, automation, and AI initiatives
Evaluate current-state architecture and develop future-state roadmaps supporting scalability and operational efficiency
Partner with executive leadership, operations, engineering, cybersecurity, and IT teams to align enterprise technology investments
Provide governance and architectural oversight for major technology initiatives
Lead architecture reviews, standards adoption, and technical decision-making processes
Requirements
Minimum of 8 years in enterprise architecture, data architecture, or systems architecture
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
3+ years of leadership experience
Deep experience with ERP and enterprise systems
Strong data modeling and database architecture expertise
Experience in industrial, manufacturing, or complex operational environments preferred