At a Glance
- Tasks: Lead teams to design and implement scalable data solutions using cutting-edge AI technologies.
- Company: Join Accenture, a global leader in professional services with a culture of innovation.
- Benefits: Enjoy 30 days vacation, gym subsidy, private medical insurance, and extra leave for charity work.
- Other info: Collaborate with experts and grow your skills in a vibrant, supportive environment.
- Why this job: Be at the forefront of the AI revolution, shaping innovative solutions for top organisations.
- Qualifications: Experience in AI-enabled data architecture and cloud platforms like AWS, GCP, or Azure.
The predicted salary is between 81000 - 99000 £ per year.
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.
We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity.
We have an exciting opportunity for an AI&Data Architecture Manager to join our AI&Data practice. We deliver scalable, business-critical and end-to-end data, AI and agentic solutions for our clients - from data strategy/governance to Core Engineering, enabling them to transform and work in Cloud and AI Technologies.
The AI&Data Architecture Practice at Accenture’s mission is to define and own Architecture vision for our clients, providing architecture enablers for innovative Data and AI capabilities driving multiplier value for the business. We design and architect modern AI-ready data platforms and help clients scale AI for digital core to unlock new data driven business opportunities.
As a AI&Data Architecture Manager, you will:
- Lead teams in the design and implementation of scalable data solutions using modern technologies, under the guidance of senior team members.
- Identify gaps and inefficiencies in clients’ existing architecture, working closely with senior colleagues to support analysis and solution development.
- Shape strategy and roadmaps for improving client AI and Data architectures.
- Provide ongoing architectural support for delivery teams, ensuring solutions are technically sound, scalable, and aligned with agreed architecture principles throughout the delivery lifecycle.
- Facilitate client workshops throughout the project lifecycle, assisting with preparation, documentation, and follow-up actions.
- Engage with clients to gather requirements and ensure project deliverables align with their needs, with support from senior team members.
- Drive architectural thought leadership by sharing ideas on innovation, emerging technologies, and modern data and AI architecture patterns across client and internal forums.
- Learn from and collaborate with more experienced colleagues, seeking opportunities to enhance your skills and knowledge through mentorship and training.
- Play an active role in internal networks and special interest groups, participating in discussions and activities to build your professional expertise within Architecture.
- Drive innovation in data and AI architecture by prototyping new technologies and developing proofs of concept to validate ideas and inform client and internal recommendations.
- Establish and maintain strong relationships with client architecture and technology stakeholders, acting as a trusted advisor to ensure alignment between client objectives, architectural direction, and delivery outcomes.
A strategic thinker, with an analytical and creative mindset. Demonstrated ability to stay current with emerging AI and Data trends, technologies, and architecture patterns, and apply them to relevant client opportunities and solutions.
Experience building AI-enabled data architecture. In-depth experience in one or more major cloud platform(s) (AWS, GCP, Azure), preferably with relevant professional level certifications. Competency and practical implementation experience with AI / Agentic solutions.
A background working in software development, data engineering or data science, with an aptitude and motivation to progress towards a specialisation in AI and Data Architecture. Expertise across foundational data domains including data modelling, data engineering, data governance, and data consumption.
Experience working in client facing environments and a proven track record in architecting complex data solutions. Experience leading technical teams, coordinating across project streams to deliver high-quality Data and AI solutions.
At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days vacation, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice!
Data Architecture Consulting Manager in Edinburgh employer: Accenture
Accenture is an excellent employer for those looking to thrive in a dynamic environment, particularly in the role of Operations Engineer. With a strong focus on employee growth and development, you will have the opportunity to collaborate with senior colleagues while enjoying flexible work arrangements that promote a healthy work-life balance. The company's commitment to continuous improvement and innovation makes it a rewarding place to build your career.
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We think you need these skills to ace Data Architecture Consulting Manager in Edinburgh
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
