Senior Enterprise Architect Utility Industry

Location: Columbus, OH
Duration: 12 Months
Hybrid: 2 Days a week on-site

Role Summary
Quasent, Inc. is seeking a Senior Enterprise Architect for our utility client.

• Enterprise-wide architecture strategy across grid modernization.
• IT/OT convergence, and AI-enabled operations.

The ideal candidate will have strong experience in a utility or comparable critical-infrastructure enterprise.

Key Responsibilities
• Define and own the enterprise architecture roadmap across grid operations, customer systems, and enterprise IT, aligned with the utility's regulatory and reliability obligations (NERC CIP, FERC).
• Serve as the architectural bridge between OT environments (SCADA, ADMS, DERMS) and IT environments (ERP, CIS, data platforms).
• Lead architecture governance boards, technology standards, and reference architectures across business units.
• Partner directly with the client's CIO/CTO and program leadership to translate business strategy (grid capacity buildout, DER integration, AI adoption) into technical architecture decisions.
• Evaluate and select platforms across cloud (Azure, AWS), data, and cybersecurity/governance domains.
• Establish architecture review boards and decision-record practices; mentor client and Quasent, Inc. engineering teams.
• Ensure every architecture decision accounts for security, regulatory compliance, and long-term maintainability.

Required Qualifications
• 12+ years in enterprise architecture roles, including at least 5 years inside a utility, energy, or other critical-infrastructure environment.
• Direct working experience with NERC CIP and regulated OT/IT environments.
• Deep knowledge of enterprise integration patterns, cloud architecture (Azure or AWS), and data architecture.
• Demonstrated experience advising and presenting to C-level technology executives.

Preferred Qualifications
• Direct experience at a major utility (AEP, NextEra Energy, Duke Energy, Southern Company, Exelon, or comparable).
• TOGAF or equivalent enterprise architecture certification.
• Experience with AI/ML platform architecture and AI governance frameworks.
• Prior delivery experience in a consulting or advisory environment.

Flexible work from home options available.