Kearney Enterprise Architect

The Enterprise Architect plays a critical leadership role in shaping and advancing the firm’s enterprise-wide technology architecture and AI platform strategy enabling differentiated client offerings, internal productivity gains, and scalable AI-enabled consulting solutions. Operating in a global, matrixed consulting environment, this role partners closely with senior business leaders, technology teams, and innovation functions to ensure the firm’s technology ecosystem is scalable, secure, resilient, and aligned to strategic priorities—including AI-enabled transformation and digital modernization.

This role is both strategic and hands-on, balancing architectural vision with practical execution across a complex portfolio of platforms, data, and client-facing capabilities.

Working alongside a dedicated and diverse set of people, you will broaden your knowledge and experience in an open, agile, and collaborative environment. With the freedom to be yourself and recognition for what you bring to the table, you can put your purpose into action and help build a future that works for everyone, everywhere—as a Kearney Original.

Key responsibilities

Enterprise and Technology Strategy

·Define, evolve, and govern the firm’s AI driven enterprise architecture vision, principles, and standards across global platforms.

·Translate business and growth strategies into executable architecture roadmaps and investment priorities.

·Partner with senior leadership to align technology decisions with firm-wide objectives, including productivity, scalability, and client delivery excellence.

Architecture Design & Modernization

·Design and maintain cohesive end-to-end architectures across cloud, data, applications, security and integration layers.

·Identify current-state gaps, technical debt, and architectural risks; lead modernization and simplification initiatives.

·Lead modernization initiatives leveraging microservices, containers, Kubernetes, and serverless architectures. Architect for compute utilization and cost-aware AI workloads.

AI, Data & Emerging Technologies

·Architect and govern enterprise AI platforms, including model access, data pipelines, inference infrastructure, and integration with business systems.

·Own end-to-end AI architecture, from data ingestion and feature stores through model deployment, monitoring, and feedback loops.

·Collaborate with innovation, analytics, security and product teams to operationalize AI use cases that drive internal efficiency and client value.

·Evaluate emerging technologies and define adoption approaches that create sustainable competitive advantage.

Governance, Standards & Risk Management

·Establish and lead architecture governance forums, design reviews, and compliance processes.

·Define reusable architectural patterns, reference architectures, and technology building blocks.

·Ensure alignment with security, privacy, regulatory, and risk management requirements.

Stakeholder Partnership & Influence

·Act as a trusted advisor to business leaders, Practice Leaders, and IT leadership on technology tradeoffs and investments.

·Influence decisions across practices and regions without direct authority, driving alignment in a federated operating model.

·Support business cases through TCO, ROI, and risk analysis for major initiatives.

Delivery Oversight & Capability Building

·Provide architectural oversight for major programs and platforms to ensure scalability, interoperability, and reliability.

·Coach and mentor architecture and engineering teams, strengthening enterprise architecture capability across the firm.

·Promote best practices in engineering rigor, documentation, and knowledge sharing.

Who you are

After nearly 100 years, we know this business is fundamentally about making connections—between facts, figures, insights, strategies, tools, technologies, and above all, people. That’s why we look for collaborative, insightful, and inquisitive problem-solvers who don’t accept the first thing in front of them and who are always unapologetically themselves.

Qualifications

Education

·Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field required.

·Master’s degree or equivalent advanced education preferred.

Experience

·15+ years of progressive experience in enterprise architecture, technology strategy, or senior IT leadership roles.

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