Enterprise Architect

Computer Task Group, Inc•UNAVAILABLE, UNAVAILABLE

11h•Remote

About The Position

Enterprise Architect (Data & AI) opening for our client. This strategic architecture role will focus on defining and advancing enterprise-wide Data & AI architecture capabilities, driving technology modernization, and aligning business objectives with scalable, secure, and governed technology solutions.

Requirements

Bachelor's degree and 7+ years of relevant experience, or a combination of education and experience totaling 11+ years.
7+ years of experience in software engineering, solution architecture, enterprise architecture, or related technical disciplines.
Strong experience with: Enterprise Architecture, Data Architecture, AI/ML Architecture, Executive Communications, Technology Strategy and Roadmap Development
Working knowledge of enterprise architecture frameworks and architecture modeling tools.
Experience designing and integrating enterprise-scale applications and platforms.
Strong stakeholder management and communication skills with the ability to influence senior leadership.
Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Nice To Haves

Graduate degree in a business or technical discipline.
Enterprise Architecture certification (TOGAF or equivalent).
Cloud certifications and experience with major cloud providers.
Experience working in Agile environments.
Financial services or banking industry experience.
Experience developing technology roadmaps and enterprise modernization strategies.
Knowledge of data governance, regulatory compliance, AI governance, and model risk management practices.

Responsibilities

Define enterprise Data & AI architecture strategies, roadmaps, standards, and target-state capabilities.
Develop conceptual and logical architectures for enterprise data platforms, analytics ecosystems, AI/ML solutions, and data integration frameworks.
Establish enterprise patterns for data sourcing, transformation, exchange, governance, lineage, reconciliation, and consumption.
Drive standardization of data exchange models including event-driven, streaming, batch, and API-based architectures.
Partner with technology and business leaders to align enterprise architecture initiatives with strategic objectives.
Provide architectural guidance across application, data, cloud, infrastructure, security, integration, and operations domains.
Research emerging technologies and industry trends to evaluate opportunities and inform enterprise strategy.
Support architecture governance processes and provide recommendations to leadership and peer review groups.
Create and maintain enterprise architecture standards, reference architectures, principles, and documentation.
Ensure Data & AI solutions are designed with governance, compliance, scalability, and regulatory requirements in mind.