Enterprise Architect - Data & Integration

Overview

Job Summary:

The Enterprise Architect for Data and Integration is a senior technology leadership role within the Enterprise Architecture practice, responsible for shaping enterprise-wide data and integration architecture strategy in alignment with organizational priorities and long-term technology vision. Operating at the intersection of business strategy and technology execution, this role partners with C-suite and senior IS leadership, supports governance bodies including ESIC, Coalition and Cohort committees, and serves as a key voice in enterprise-level architecture decisions spanning data, integration and information management.

As a strategic advisor and thought leader, the Enterprise Architect drives technology investment, portfolio planning and architecture governance — ensuring data and integration decisions are coherent with and contributory to the broader enterprise architecture direction, being accountable for defining the master data and integration strategy. This role is also expected to bring a forward-looking perspective on AI and Generative AI, governing responsible adoption within the value stream and championing AI-enabled ways of working that accelerate architecture productivity and business outcomes.

Within the Data and Integration context, this role provides focused architecture leadership across information architecture, integration patterns and data quality — working closely with IS Strategy, IS Delivery, Platform Architects and Allegis Business Partners to define future-state vision, govern data models and integration standards, ensure data quality and validation practices, and maintain architectural integrity across delivery. 

Required in-office presence at least 5 days per week

Responsibilities

Essential Functions:

• Architecture Vision & Roadmap: Develops and maintains enterprise data and integration technology roadmaps aligned to organizational priorities, defining future-state information architecture vision, capability frameworks and baseline assessments in partnership with the Delivery Manager, Enterprise Architecture.
• Business-Technology Alignment: Partners with IS Delivery, IS Strategy, Coalition Leadership and Allegis Business Partners to translate business priorities into data and integration architecture direction, ensuring technology investments deliver measurable outcomes and align with organizational initiatives across ESIC.
• Stakeholder Engagement & Enablement: Engages and enables leaders across Coalition, Cohort and ESIC broadly, serving as a trusted architecture advisor who bridges data and integration strategy with execution and ensures alignment across organizational boundaries.
• Market & Technology Intelligence: Reviews market trends across data management, integration platforms, API ecosystems and emerging technologies — recommending strategies for new technology adoption and conducting assessments and vetting for new investments aligned to industry patterns such as data mesh, event-driven architecture and cloud-native integration.
• Design Authority & Solution Guidance: Serves as the design authority for enterprise data and integration architecture, providing guidance on solution decisions across master data management, data sharing, API design and integration patterns, and acting as the escalation path for cross-domain architecture conflicts.
• Standards & Modeling Governance: Determines and maintains overall standards, guidelines and best practices for data modeling, process modeling, object modeling and integration design — enforcing data validation, quality rules and profiling standards to ensure consistency and integrity across the enterprise.
• Artificial Intelligence & GenAI Leadership: Evaluates emerging AI and Generative AI patterns, governs responsible adoption within the value stream, and models AI-enabled ways of working — leveraging tools such as Microsoft Copilot and platform-native AI capabilities to accelerate architecture productivity and deliver business outcomes across the enterprise.
• Architecture Review & Compliance: Reviews enterprise technical designs to ensure alignment with defined architecture principles, data standards, non-functional requirements (NFRs) and integration guardrails, using data quality and profiling tools to detect and address variations from established standards.
• Master Data & Integration Strategy: Defines and governs the master data and integration strategy, enabling the creation of master data stores, data-sharing frameworks and integration processes that leverage canonical data models to meet enterprise