Job Description

The Enterprise Architect is responsible for defining, governing, and evolving the organization's enterprise technology strategy and architecture. This role ensures that technology investments, standards, and solution designs align with business objectives, regulatory requirements, and long-term organizational strategy.

Operating with enterprise-wide scope, the Enterprise Architect provides strategic architectural leadership across business and IT domains. The role translates business priorities into clear architectural direction, standards, and roadmaps that guide technology decisions across portfolios and delivery teams.

This position plays a critical role in reducing enterprise technology risk, controlling cost and complexity, improving reuse, and increasing the quality and consistency of technology decisions. The Enterprise Architect serves as a trusted advisor to senior business and IT leaders, provides guidance and mentoring to other senior technical staff, and operates at a level equivalent to other director level roles within the organization, while remaining an individual contributor.

Responsibilities

Define and evolve the enterprise technology vision, strategy, and multiyear architecture roadmap across assigned business and technology domains.

Establish and maintain current state, transition state, and future state architectures spanning applications, data, infrastructure, and integration platforms.

Translate business strategies and priorities into actionable architectural guidance that informs technology planning and execution.

Advise senior business and IT leadership on technology trends, risks, opportunities, and architectural tradeoffs.

Architecture Standards & Reference Architectures

Develop, publish, and maintain enterprise architecture principles, standards, patterns, and reference architectures.

Define approved, conditionally approved (exception based), and prohibited technologies and architectural patterns.

Communicate architectural direction and decisions clearly to both technical and nontechnical audiences, including senior leadership.

Mentor and guide solution architects and senior technical staff, helping raise architectural maturity and enterprise thinking across the organization.

Qualifications

Bachelor's degree in computer science, information systems, or related field; or an equivalent work experience. (Typically four years of additional related, progressive work experience would be needed for candidates applying for this position who do not possess a bachelor's degree. A minimum of two years additional directly related technical experience is required.)

A minimum of seven years of extensive progressive IT experience with broad exposure to applications, data, infrastructure, and integration technologies.

Experience designing enterprise-scale data analytics and AI architectures, including cloud and hybrid environments.

Knowledge of Retrieval-Augmented Generation (RAG) patterns, including document ingestion, embeddings, and retrieval strategies.

Experience with vector databases and semantic search architectures used to support AI and knowledge-driven applications.

Familiarity with feature stores, model inference pipelines, and AI/ML serving patterns.

Experience implementing model and data lineage, versioning, and lifecycle management for internally developed AI models.

Understanding of AI governance and secure-by-design principles, including PII handling, prompt and context management, and responsible AI practices.

Ability to design cost-aware AI solutions, optimizing token usage, inference costs, and model selection.

Strong foundation in data architecture supporting analytics and AI (e.g., data lakes, warehouses, streaming, metadata).

Ability to translate business needs into scalable, secure, and reusable data analytics and AI architecture standards.

Strong communication skills, with experience advising senior stakeholders and participating in formal architecture governance processes.

Preference given to experience supporting utilities, energy, or other regulated or critical-infrastructure environments, including reliability, availability, and compliance-driven architecture considerations.

Core Competencies
• Enterprise level strategic thinking
• Technology and business alignment
• Architectural governance and decision making
• Portfolio, lifecycle, and investment awareness
• Executive level communication and influence
• Pragmatic evaluation and adoption of emerging technologies