Manager, AI & Data Architect

As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last. We're seeking a Manager - Data Architect in our Technology & Data practice to help us take vision to value and create lasting impact.

Summary

This role is primarily responsible for delivering data and analytics work using modern data platforms and analytical techniques.

You Will

• Architect and implement end-to-end data solutions that address complex business problems, from data ingestion and processing to analytics and visualisation.
• Collaborate with cross-functional teams to design, develop, and maintain scalable data pipelines and ETL processes to support analytics, business intelligence and data science initiatives.
• Design data solutions that integrate both modern and legacy platforms, ensuring seamless data flow and accessibility.
• Develop and maintain conceptual, logical, and physical data models (dimensional, relational, and/or data vault).
• Establish architectural best practices covering security, performance, scalability, and cost optimisation.
• Design and own end-to-end data architecture solutions aligned to business and technology strategy.
• Provide technical leadership, architecture governance, and design documentation across data initiatives.
• Develop and maintain data models, schemas, and metadata repositories.
• Implement robust data quality frameworks and governance policies to maintain data integrity, security, and compliance throughout the data lifecycle.
• Leverage AI technologies to enhance data solutions through intelligent automation, anomaly detection, and predictive data quality monitoring, while ensuring ethical AI practices and governance.
• Translate complex data insights into compelling visual narratives and actionable recommendations for both technical and non-technical stakeholders.
• Adopt and communicate new concepts, ideas, techniques, and best practices, including prototyping new architecture methods, tools and products that might provide future value to our clients.

Ideally, We'd Like

• Bachelor's or foreign equivalent degree in computer science, computer engineering, data engineering, or a related field.
• 5+ years of experience in data engineering, including designing and implementing ETL processes, data pipelines, and data storage solutions, ideally with 2+ years of experience leading data engineering projects or workstreams.
• Extensive experience with cloud platforms and their data services, with relevant cloud data engineering certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate).
• Has the advisory skillset to act as a Product Manager for Data Platforms e.g. Snowflake, Fabric.
• Experience working with data visualisation techniques and tools (e.g., Power BI, Tableau, Looker) and deploying enterprise-wide analytics dashboards.
• Knowledge of data governance principles and best practices.
• Experience with AI and machine learning integration in data solutions, including working knowledge of AI governance frameworks and ethical considerations.
• Demonstrated ability to translate data insights into business value and communicate complex technical concepts to executive stakeholders.
• Strong ability to work independently and collaboratively in a dynamic, hybrid environment.

Total Rewards associated with this position include a comprehensive benefits package designed to support your well-being and financial security. Unique perks include flexible time off, a private medical plan, a health cash plan, a workplace savings scheme (including ISAs and GIAs), and enhanced parental leave.

Applicants must be authorised to work in the United Kingdom, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position.

North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, colour, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance with local privacy standards and maintain strict confidentiality.