Enterprise Architect - AI Enabled Transformation - Technology Consulting

Enterprise Architect - AI Enabled Transformation - Technology Consulting

Location: Auckland Other locations: Primary Location Only Salary: Competitive Date: 21 Sept 2026

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Nāu te rourou, nāku te rourou, ka ora ai te iwi With your contribution and my contribution, together we will thrive. Hei Oranga Iwi | The opportunity As a Senior Manager in Technology Consulting, you'll lead enterprise architecture engagements across complex transformation programs. You will connect business strategy, operating model and process design with technology and data architecture, helping clients redesign work for an environment in which people, automation and AI operate together. Experience across the Enterprise and Solutions domains is essential, including translating capability and process change into practical target architectures and transition roadmaps. This hybrid role is based in Auckland, New Zealand. You'll join a high-performing team delivering strategic architecture outcomes across industries. The role will help clients modernise their technology landscape, identify where AI can improve decisions and execution, and redesign processes, controls and roles so AI-enabled solutions can operate safely at scale.

Ko Tō Rourou | Your key responsibilities Architect for change: Lead the design of enterprise target states and model the business, process, information, application and technology views required to support transformation, aligned with operational priorities and strategic goals. Transition planning: Define and validate architecture plateaus, transition states and migration patterns across application domains. Assess feasibility and the implications for data, cyber security, infrastructure and other architecture domains. Capability and process alignment: Connect business capabilities, end-to-end processes and technology services. Rationalise processes and applications to support integration, separation and wider business transformation. AI-enabled process and operating model design: Work with business and technology teams to redesign end-to-end processes for AI and automation. Define how work, decisions and controls should be divided between people and AI, including where human judgement, review or approval must remain. AI architecture: Translate AI use cases into architecture requirements across data, models, orchestration, integration, security, identity and observability. Define reusable patterns for copilots and agentic solutions and their integration with enterprise platforms. Stakeholder engagement: Facilitate workshops with cross-functional teams to align business outcomes, process changes, transition plans, integration points and readiness across business and technology. Dependency management: Identify and manage dependencies across architecture domains, including data products, shared services, identity platforms, integration layers and AI services. Responsible AI, governance and risk: Maintain compliance with architectural standards and responsible AI requirements. Address privacy, security, data quality, bias, explainability, model risk, human oversight and regulatory obligations, escalating material issues through the appropriate governance forums. Roadmaps and value delivery: Develop architecture roadmaps that sequence investments and account for technical constraints, transitional service agreements and business readiness. Define measurable outcomes and support teams to test and scale AI-enabled changes based on evidence.

Skills and attributes for success Proven experience designing and delivering enterprise architectures across complex business and technology environments. Mergers or acquisitions experience is desirable. Strong knowledge of enterprise and solution architecture methods across business, process, data, integration, cloud, applications and security. Experience identifying valuable AI opportunities and redesigning processes and operating models to realise them, including human-in-the-loop design, controls and workforce impacts. Working knowledge of generative AI and agentic architecture concepts, including large language models, retrieval, orchestration, guardrails, evaluation and monitoring. Deep data science expertise is not required. Ability to assess the data, platform, integration, security and operating model readiness required to move AI solutions from experiment to reliable enterprise use. Ability to facilitate prioritisation and design decisions, influence across business units, present to senior stakeholders and lead architecture teams. Understanding of regulatory compliance, responsible AI and essential service environments. Familiarity with enterprise architecture frameworks such as Zachman and TOGAF, architecture maturity models, modelling languages such as ArchiMate, and architecture governance structures. Ability to lead teams and contribute to strategic decision-making across business, technology and AI-enabled transformation domains.