Kearney Enterprise Architect
Kearney Enterprise Architect

Kearney Enterprise Architect

Full-Time 48000 - 72000 £ / year (est.) No home office possible
Kearney

At a Glance

  • Tasks: Lead the design and evolution of our AI-driven enterprise architecture.
  • Company: Join Kearney, a global leader in consulting with a focus on innovation.
  • Benefits: Enjoy competitive pay, comprehensive health insurance, and flexible work options.
  • Other info: Be part of a diverse team that values your unique contributions.
  • Why this job: Shape the future of technology while making a real impact in a collaborative environment.
  • Qualifications: 15+ years in enterprise architecture and a degree in a related field.

The predicted salary is between 48000 - 72000 £ per year.

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.

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. 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. 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. Proven experience operating in large, global, or professional services organizations. Demonstrated leadership in digital transformation, cloud migration, and enterprise modernization initiatives.
  • Technical & Strategic Expertise: Deep expertise across several of the following domains: Enterprise data platforms, analytics, and data governance (Snowflake, Databricks, BigQuery); Integration architectures, APIs, and middleware (LangChain, LlamaIndex, MuleSoft); Security architecture, risk management, and compliance (Zero Trust architectures, identity-aware AI access, secrets management); AI/ML platforms, responsible AI practices, and model lifecycle management (MLflow, Vertex AI, SageMaker, Azure ML, Arize, Azure AI Studio); Design and operationalize enterprise-scale GenAI and agent-based solutions. Experience with modern AI architectures including Retrieval-Augmented Generation, agent design, and model orchestration. Familiarity with MLOps / LLMOps frameworks for governance, monitoring, and optimization.
  • Leadership & Communication: Exceptional ability to translate complex technical concepts into clear, actionable insights for executive audiences. Strong influencing skills and comfort navigating ambiguity in a fast-paced consulting environment. Track record of mentoring senior technologists and building high-performing teams.
  • Preferred Certifications: TOGAF, AWS/Azure/GCP Architecture certifications, or equivalent enterprise architecture credentials.

What we can offer you:

Every day, our people work to be the difference for our clients, our communities, and our colleagues. Helping them make an impact, they are sustained by a competitive remuneration package plus comprehensive benefits and perks, including but not limited to:

  • Generous retirement/pension savings contributions
  • Comprehensive medical insurance for employees
  • Structured and on-the-job learning and development opportunities
  • Personalized opportunities including talent mobility, flexible work programs and externships to help you chart a unique career journey to pursue your own personal and professional goals

Kearney prides itself on providing a culture where our employees belong and thrive equally, which means our people feel comfort, confidence, and joy as they do great things for our firm, our colleagues, and our clients. That’s why Kearney is committed to building a diverse workforce and inclusive environment. Kearney is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race or ethnicity, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities or religious beliefs and practices. We encourage everyone to apply, including those who may not feel historically represented in consulting.

Kearney Enterprise Architect employer: Kearney

Kearney is an exceptional employer that fosters a collaborative and inclusive work culture, empowering employees to thrive in their careers while making a meaningful impact. With a strong focus on professional development, employees benefit from structured learning opportunities, flexible work programs, and a commitment to diversity, ensuring that every voice is heard and valued. Located in a dynamic global consulting environment, Kearney offers the chance to work alongside talented professionals on cutting-edge technology initiatives, particularly in AI and digital transformation, making it an ideal place for those looking to advance their careers in a supportive and innovative setting.
Kearney

Contact Detail:

Kearney Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Kearney Enterprise Architect

✨Tip Number 1

Network like a pro! Reach out to connections in the industry, attend events, and engage on platforms like LinkedIn. The more people you know, the better your chances of landing that dream role.

✨Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their tech stack and be ready to discuss how your experience aligns with their needs. Show them you’re not just another candidate!

✨Tip Number 3

Practice your pitch! You want to convey your skills and experiences clearly and confidently. Think of it as telling a story about your career that highlights your journey and achievements.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Kearney Enterprise Architect

Enterprise Architecture
AI Platform Strategy
Cloud Architecture
Data Governance
Microservices
Kubernetes
Serverless Architectures
Integration Architectures
APIs
Security Architecture
Risk Management
Digital Transformation
Mentoring
Stakeholder Engagement
Technical Communication

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight how your experience aligns with the role of Enterprise Architect. Use keywords from the job description to show that you understand what we're looking for.

Showcase Your Technical Expertise: Don’t hold back on detailing your technical skills and experiences, especially in areas like AI platforms and enterprise architecture. We want to see how you can contribute to our tech strategy!

Be Yourself: We value authenticity! Let your personality shine through in your application. Share your unique perspective and experiences that make you a great fit for our collaborative environment.

Apply Through Our Website: For the best chance of success, apply directly through our website. This ensures your application gets to the right people and shows us you're serious about joining our team!

How to prepare for a job interview at Kearney

✨Know Your Tech Inside Out

Make sure you’re well-versed in the latest technologies relevant to enterprise architecture, especially AI platforms and cloud solutions. Brush up on your knowledge of tools like Snowflake, Databricks, and AWS/Azure/GCP architectures. Being able to discuss these confidently will show that you’re not just familiar with the concepts but can also apply them practically.

✨Showcase Your Leadership Skills

Prepare examples that highlight your experience in leading digital transformation initiatives and mentoring teams. Think about specific projects where you influenced decisions or drove alignment across different practices. This will demonstrate your ability to operate effectively in a global, matrixed environment.

✨Align with Business Objectives

Understand the firm’s strategic priorities and be ready to discuss how your architectural vision can support these goals. Prepare to talk about how you would translate business strategies into executable architecture roadmaps, showcasing your ability to think both strategically and practically.

✨Practice Clear Communication

Since this role involves translating complex technical concepts for executive audiences, practice explaining your ideas clearly and concisely. Use real-world examples to illustrate your points, and be prepared to answer questions that may require you to simplify intricate details without losing the essence of your message.

Kearney Enterprise Architect
Kearney

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