Enterprise Data Architecture Manager — AI & Analytics

General Dynamics Electric Boat Corp.; Groton (CT); On-site; USD 120,000 - 170,000; Full time

Job summary

General Dynamics Electric Boat Corp. is seeking a Data Architecture Manager to guide a transformation toward a modern, scalable, AI-ready data ecosystem.

The role requires balancing legacy constraints with innovative data foundations that support analytics, AI, automation, and next-generation applications. The ideal candidate will lead a team, define target-state architectures, and partner with data science, product, and AI teams to translate business goals into practical technology decisions.

Qualifications

• Bachelor's degree in Data Science, Computer Science, IT, or Engineering.
• 8+ years in IT, data-focused roles, or enterprise systems.
• 4+ years of supervisory experience.
• Experience partnering across enterprise domains (architecture, security, AI).
• Ability to obtain and maintain a Secret security clearance.

Responsibilities

• Develop and evolve the enterprise data architecture strategy aligned to business objectives.
• Define target-state data architecture and practical transition paths.
• Establish architecture principles, standards, and governance for scalable, secure data solutions.
• Define data architecture for AI and analytics, enabling data discovery and governance.
• Lead and develop the Data Architecture team and provide clear direction.

Skills

Data architecture

Enterprise architecture

IT leadership

Stakeholder collaboration

Security clearance

Education

Bachelor's degree in Data Science, Computer Science, IT, or Engineering

Job description

General Dynamics Electric Boat Corp. is seeking a Data Architecture Manager to guide a transformation toward a modern, scalable, AI-ready data ecosystem.

The role requires balancing legacy constraints with innovative data foundations that support analytics, AI, automation, and next-generation applications. The ideal candidate will lead a team, define target-state architectures, and partner with data science, product, and AI teams to translate business goals into practical technology decisions.