Data & AI Solutions Specialist

Job Description

To design, build and enable effective data, analytics and AI solutions by deeply understanding the Client's data environment, translating business needs into well-structured, AI-ready data sources and designs, and delivering practical, user-centric solutions that drive insight, decision-making and business value.

Requirements

Key Performance Areas (KPAs)

Data Analysis & Architecture Design

• Analyse and understand existing databases, data warehouses and data flows, including tables, relationships, measures and dependencies.
• Advise on best-practice data modelling and architecture when introducing new metrics, measures or data elements.
• Take accountability for understanding where data changes are required and defining what “good” looks like from a data design and architecture perspective.
• Work closely with data engineers, BI developers and solution architects to design scalable, robust and well-documented data solutions.
• Identify data quality, structure and lineage risks and proactively recommend and support improvements.

AI Strategy, Enablement & Platform Design

• Contribute to and help shape the team’s AI strategy, with a strong focus on practical enablement and business value.
• Design how data should be structured, governed and exposed to support AI use cases and API-based access.
• Support AI platforms and services (e.g. large language model environments such as Amazon Bedrock or similar) through appropriate data preparation and solution design.
• Work with technical teams to ensure secure, reliable and governed data access for AI-enabled solutions.
• Identify, assess and prioritise AI use cases based on business value, feasibility and data readiness.

Front-End Enablement:
Dashboards, AI Agents & Analytics

• Translate business problems and data opportunities into practical, usable analytics and AI solutions for internal clients.
• Design and build dashboards, reports and analytical views that support decision-making and business processes.
• Design, configure and build AI agents / copilots for internal users, leveraging available AI platforms and data services.
• Enable and support self-service analytics capabilities, including reusable datasets, measures and analytical components.
• Understand the current analytics and reporting environment and actively improve front-end designs, workflows and user interaction models.
• Work closely with business users to iterate, refine and improve solutions based on feedback and adoption.

Solution Design & Delivery

• Perform end-to-end analysis of data, analytics and AI environments to identify gaps, risks and improvement opportunities.
• Design and build end-to-end solutions spanning data structures, analytics layers and AI-enabled front ends.
• Contribute hands-on to solution delivery, including analytics logic, data preparation and AI solution configuration where required.
• Collaborate across business, data engineering, BI, AI and architecture teams to deliver integrated solutions.
• Produce clear documentation, solution designs and implementation artefacts to support sustainability and reuse.

Experience

Minimum

• Experience in a data- or analytics-focused role (e.g. technical business analyst, BI developer, data analyst, data engineer or AI specialist).
• Proven experience working with relational databases and data models.
• Experience translating business requirements into data, analytics or AI-enabled solutions.
• Hands-on experience building dashboards, reports or analytics solutions.

Requirements
Key Performance Areas (KPAs) Data Analysis & Architecture Design Analyse and understand existing databases, data warehouses and data flows, including tables, relationships, measures and dependencies. Advise on best-practice data modelling and architecture when introducing new metrics, measures or data elements. Take accountability for understanding where data changes are required and defining what “good” looks like from a data design and architecture perspective.

Work closely with data engineers, BI developers and solution architects to design scalable, robust and well-documented data solutions. Identify data quality, structure and lineage risks and proactively recommend and support improvements. AI Strategy,…