Data & AI Consultant - Senior Consultant to Manager - Belfast

As a Data & AI Consultant, you will work alongside clients across diverse sectors, using your technical, analytical and consulting skills to deliver practical data and AI solutions. The role is hybrid, with client-site presence required where needed., The role spans the following Data & AI tracks. Candidates are expected to bring depth in one or more, not all. You may also work across tracks depending on client need (for example, a data engineering engagement may include governance and quality work).

• Data Analytics, BI and Reporting
• Data Engineering and Analytics Engineering
• Data Science, AI and Advanced Analytics
• Data Governance, Data Quality and Data Management
• Automation and AI-enabled Workflow, * Working with clients to understand business problems and translate them into data, analytics, BI, engineering, governance or automation outputs.
• Building dashboards, data pipelines, models, governance artefacts or automation solutions, depending on track.
• Profiling, validating and improving the quality of client data.
• Preparing client-ready deliverables, documentation and handover materials.
• Running client workshops and working sessions.
• Managing assigned tasks or workstreams and flagging risks and issues.

Additional expectations at Assistant Manager and Manager:

• Lead small teams or workstreams and review junior outputs.
• (Manager) Contribute to proposals, propositions, reusable assets and the development of new Data & AI work., * Applying statistical, predictive or machine learning techniques to business problems using Python or R.
• Experience across forecasting, classification, optimisation, NLP or GenAI-enabled analysis.
• Translating model outputs into business recommendations.
• Awareness of model performance, explainability and responsible AI.

Data Governance, Data Quality and Data Management

• Profiling, cleansing, validating and remediating data.
• Defining data quality rules, dictionaries, metadata and lineage.
• Supporting data ownership and stewardship models.
• Contributing to data migration, regulatory reporting or remediation projects.

Automation and AI-enabled Workflow

• Identifying opportunities to automate reporting, reconciliation or operational processes.
• Building solutions using Power Automate, Power Apps, UiPath, Python or VBA.
• Mapping current and future-state processes with business users.
• Supporting AI-enabled use cases such as document processing, extraction, classification or triage.

• Degree or equivalent experience in a relevant discipline such as Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field.
• Proficiency in at least one programming language (e.g., SQL, Python, R)., * 2-8 years in data, analytics, BI, engineering, data science, AI, automation or governance.
• Degree or equivalent experience in a relevant discipline.
• Proficiency in SQL and at least one of Python, R, DAX or Power Query.
• Strong analytical and problem-solving skills with messy or incomplete data.
• Ability to translate business requirements into clear data or technical outputs.
• Strong written and verbal communication, including explaining technical content to non-technical audiences.
• Interest in client-facing consulting.
• Sector experience in financial services, public sector, healthcare or life sciences is useful but not required.

Data Analytics, BI and Reporting

• Building dashboards and reporting using Power BI, Tableau, Qlik or similar.
• Defining KPIs and reporting requirements with business stakeholders.
• Power BI semantic modelling using DAX and Power Query.
• Analysing data to identify trends, risks and recommendations.

Data Engineering and Analytics Engineering

• Building data pipelines and ETL / ELT workflows.
• Working with at least one cloud data platform (e.g. Azure, Microsoft Fabric, Databricks, Snowflake).
• Designing data models for reporting, analytics or reconciliation.
• Implementing data quality checks and technical documentation; exposure to version control and CI/CD is useful.