AI & Data Architects

• Develop solution proof of concepts to prove the business value of proposed AI and data solutions
• Work with client stakeholders to define a 'common language for data', so that data across the organisation can be interpreted and used consistently and efficiently for required purposes
• Contribute to assessing the as-is solution and suggesting target solution architectures leveraging your expertise in Data & AI/Analytics tools and Cloud technologies
• Support the creation of strategic roadmaps for Data & AI capabilities required to support the clients' AI ambition
• Contribute to client project delivery by owning one or more deliverable(s) and ensuring commercially successful conclusion of the client engagements
• Work with on-shore and off-shore development teams, potentially managing their workloads, facilitating communication, and ensuring alignment to meet project deadlines within an Agile environment
• Continue develop architecture skills through 'on the job' training and formal development programmes

• Experience in analysing requirements for data solution design and data modelling (e.g. from conceptual to physical).
• Experience in data manipulation, analysis and reporting of insights from large datasets using tools such as SQL, Python or R.
• Good understanding of key components of an end to end data solutions, including data quality, master data management, reference data, reporting and visualisation, AI, analytics and self-service business intelligence.
• Ability to work independently, think strategically and solve problems, identifying opportunities for innovation and growth while maintaining a focus on delivering high-quality solutions.
• Exceptional time management skills to manage competing priorities, across client service, practice development, and business development responsibilities.
• Business Analysis skills and experience such as requirements definition, information gathering, discovery and/or specification development.
• Manage stakeholders using clear communications and be able to form strong client relationships.
• Demonstrated ability to collaborate with and potentially manage workloads of on-shore and off-shore development teams, ensuring alignment and timely delivery of high-quality AI and data solutions.

Desirable

• Experience in data solution architecture and data management framework e.g. establishing design principles, defining solution patterns while following architecture methodologies.
• Experience and/or certifications in Cloud data platform solutions (e.g. AWS, Azure, GCP, Snowflake, Databricks) to design and deliver enterprise data solutions including toolset selection, effort and cost estimation.
• Broad knowledge across Cloud architecture, DevOps, Networking, Machine Learning, and Security
• Experience and knowledge of delivering innovative enterprise data management frameworks e.g. Data Mesh, Data Vault.
• Demonstrate a good understanding of Data / Information Governance principles and familiarity with processes, policies for any of the key vendor platforms such as Collibra, Informatica.
• Experience with Management Information / BI Reporting delivery processes.

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