Data & AI Solutions Specialist

PBT Group is seeking a Data & AI Solutions Specialist to design and deliver innovative data, analytics and AI-enabled solutions that drive insight, decision-making and measurable business value.

This role sits at the intersection of data architecture, analytics, and emerging AI capabilities, requiring someone who can deeply understand complex data environments and translate business needs into well-structured, AI-ready data solutions.

The successful candidate will work closely with data engineers, BI developers, architects and business stakeholders to design scalable data models, enable advanced analytics, and support the development of AI-powered tools such as internal copilots, agents, and intelligent dashboards.

Key Responsibilities

Data Analysis & Architecture Design

• Analyse and understand existing databases, data warehouses and data flows, including tables, relationships, measures and dependencies.
• Provide guidance on best-practice data modelling and architecture when introducing new metrics, measures or data elements.
• Identify where data changes or enhancements are required and define optimal data design approaches.
• Collaborate with data engineers, BI developers and solution architects to design scalable and maintainable data solutions.
• Identify data quality, structure and lineage risks, recommending improvements where necessary.

AI Strategy & Enablement

• Contribute to the development and execution of the organisation’s AI strategy, with a focus on practical business enablement.
• Design AI-ready data structures and governed access layers to support AI and API-driven use cases.
• Support AI platforms and services (e.g. LLM environments such as Amazon Bedrock or similar) through effective data preparation and architecture.
• Ensure secure, reliable and governed data access for AI-driven solutions.
• Identify and prioritise AI use cases based on business value, feasibility and data readiness.

Analytics, Dashboards & AI Agents

• Translate business challenges into practical analytics and AI-enabled solutions.
• Design and develop dashboards, reports and analytical views to support operational and strategic decision-making.
• Design and configure AI agents or copilots for internal users using available AI platforms and data services.
• Enable self-service analytics capabilities, including reusable datasets and analytical components.
• Continuously improve analytics environments, dashboards and user interaction models.
• Collaborate with business users to refine and enhance solutions based on feedback and adoption.

Solution Design & Delivery

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

Minimum Requirements

Experience

• Experience in a data or analytics-focused role, such as Data Analyst, BI Developer, Data Engineer, Technical Business Analyst 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, reporting or analytical solutions.

Preferred Experience

• Experience in financial services or banking environments.
• Exposure to cloud-based data platforms (preferably AWS).
• Experience working with APIs and data integration patterns.
• Practical experience building or configuring AI-driven tools such as copilots, agents or LLM-enabled solutions.
• Experience collaborating with data engineers, BI developers and solution architects.

Qualifications

Minimum

• Relevant tertiary qualification in Information Systems, Computer Science, Engineering, Data, Analytics or a related field.

Preferred

• Postgraduate qualification or specialised certification in data, analytics or AI-related disciplines.

Technical Knowledge

• Strong understanding of data modelling and relational database structures.
• Familiarity with analytical data structures such as dimensional models.
• Understanding of data, analytics and AI architecture patterns.
• Knowledge of BI and visualisation tools such as Power BI, Qlik or similar.
• Practical understanding of AI and Large Language Model concepts, including prompt-driven solutions and AI data preparation.

Key Skills

• Strong SQL and data analysis capability.
• Ability to interpret data models, data dictionaries and ETL/ELT logic.
• Technical business analysis and requirements elicitation.
• Hands-on BI development and analytics design.
• Ability to build and iterate AI-enabled solutions, not just define requirements.
• End-to-end solution design across data, analytics and AI platforms.
• Ability to translate complex technical concepts into clear business…