AI & Data Architect, Strategy, Governance & Architecture, AI & Data

Overview

In this role, you will design end-to-end AI and data architectures that enable advanced analytics and AI deployments for clients. You’ll translate business needs into practical data solutions and work with cross-functional teams to shape strategic roadmaps. You’ll develop proofs of concept, align data language across organizations, and drive delivery in Agile environments. This consultative position offers exposure to large-scale, transformation-focused projects within Deloitte’s AI & Data practice.

Pay / Benefits

• hybrid working (London or Manchester)
• development opportunities
• wellbeing emphasis
• flexible working arrangements
• collaboration with diverse teams

Responsibilities

• Define and design end-to-end architectures for AI & data solutions
• Develop solution proof-of-concepts to demonstrate business value
• Collaborate with client stakeholders to standardize a common data language
• Assess current solutions and propose target architectures leveraging Data & AI/Analytics tools and Cloud
• Support creation of strategic roadmaps for Data & AI capabilities
• Own deliverables and contribute to commercially successful client engagements
• Coordinate with on-shore and off-shore development teams in Agile delivery
• Continue developing architecture skills through on-the-job training and formal programmes

Key requirements

• Experience analysing requirements for data solution design and data modelling (conceptual to physical)
• Experience in data manipulation, analysis and reporting using SQL, Python or R
• Understanding of components of end-to-end data solutions (data quality, master data, reference data, reporting, AI, analytics, self-service BI)
• Independent, strategic thinker with problem-solving capability and focus on high-quality solutions
• Strong time-management and ability to handle competing priorities
• Business analysis skills (requirements gathering, discovery, specification)
• Stakeholder management and client relationship-building
• Ability to collaborate with and manage on-shore/off-shore development teams in a timely fashion

• Strong communication with technical and non-technical stakeholders
• Collaborative and team-oriented mindset
• Outcome-focused and pragmatic approach to solution design
• Data modelling and data solution architecture
• Cloud technologies (AWS, Azure, GCP) and tools (Snowflake, Databricks)
• Data governance and data management concepts

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