AI-Ready Enterprise Data Architecture Manager

General Dynamics Electric Boat Corp.; Groton (CT); On-site; USD 140,000 - 210,000; Full time

Job summary

General Dynamics Electric Boat Corp. is seeking a Data Architecture Manager to guide EB's move to a scalable, AI-ready data ecosystem.

This role bridges legacy systems with a modern data foundation that supports analytics, AI, automation, and next-generation applications. You will lead enterprise data architecture, define target states, establish governance, and partner with data science, product, and business teams to translate goals into pragmatic technology decisions.

Qualifications

• Bachelor's degree in data science, computer science, information technology, or engineering.
• 8+ years in IT, data-focused technical roles, or enterprise systems.
• 4+ years of supervisory experience.
• Experience partnering across enterprise, solution, application, infrastructure, security, and AI architecture domains.
• Ability to obtain and maintain a Secret security clearance.

Responsibilities

• Develop and evolve the enterprise data architecture strategy in alignment with business and technology objectives.
• Define target-state data architecture and practical transition paths from current to future-state environments.
• Establish architecture principles, standards, patterns, and governance that promote scalable, secure data solutions.
• Define data architecture to support AI and machine-learning initiatives and ensure data is governed and accessible across the enterprise.
• Lead, mentor, and develop the Data Architecture team, providing clear direction and empowerment.

Skills

Data architecture

Enterprise architecture

Data engineering

Security

Education

Bachelor's degree in Data Science / CS / IT / Engineering

Job description

General Dynamics Electric Boat Corp. is seeking a Data Architecture Manager to guide EB's move to a scalable, AI-ready data ecosystem.

This role bridges legacy systems with a modern data foundation that supports analytics, AI, automation, and next-generation applications. You will lead enterprise data architecture, define target states, establish governance, and partner with data science, product, and business teams to translate goals into pragmatic technology decisions.