The Role

To lead the design and delivery of high-quality BI dashboards, semantic data models, intelligent automations and AI-enabled analytical solutions that provide trusted insight, improve operational efficiency and support better decision-making across Property Management Middle East.

The role will be responsible for translating business requirements into clear visual reporting solutions, shaping data models and reporting architecture, and working with PMIT development and data architecture teams to ensure BI products are scalable, governed and modernised through AI technologies.

The role will work closely with the wider PMIT development, integration and data architecture teams to ensure dashboards and reporting products are underpinned by robust data structures, fit-for-purpose architecture, reliable pipelines and clear governance.

While some knowledge of C#/.NET or web technologies is useful, this is not primarily a software development role. These skills are only required where Power BI reports or analytical outputs need to be securely embedded, wrapped or presented through client portals and digital platforms.

Key Responsibilities

A. Business Intelligence, Dashboards & Data Visualisation

• Lead the design, development and continuous improvement of Power BI dashboards, reports and analytical products.

• Translate complex business questions into clear, intuitive and actionable visual outputs.

• Create executive-level and client-facing dashboards that support decision-making, operational oversight and performance management.

• Apply strong data visualisation principles, including layout, hierarchy, user journey, accessibility, interactivity and storytelling.

• Build engaging reporting experiences that allow users to move from headline insight to detailed analysis.

• Work with stakeholders to define meaningful KPIs, measures and visual narratives that align with business objectives.

• Ensure dashboards are professional, consistent, performant and suitable for senior leadership, operational teams and external client audiences.

• Promote standardised dashboard design patterns, templates and reusable visual components.

B. Data Architecture, Modelling & Semantic Layer Design

• Design and maintain robust data models that support scalable, trusted and reusable reporting.

• Develop well-structured Power BI semantic models using appropriate relationships, measures, dimensions and calculation logic.

• Create and optimise DAX measures, Power Query transformations and analytical models.

• Work with the PMIT data architecture team to align BI reporting layers with wider enterprise data architecture.

• Support the definition of data marts, curated reporting datasets and reusable analytical views.

• Help shape data architecture principles for reporting, including consistency, lineage, ownership, quality and reusability.

• Ensure reporting models are designed to reduce duplication, improve trust and support self-service analytics where appropriate.

• Contribute to data standards, naming conventions, modelling patterns and semantic layer governance.

C. Collaboration with PMIT Development & Data Teams

• Work closely with PMIT developers, data engineers, integration specialists and solution architects.

• Ensure dashboards are supported by appropriate data pipelines, integrations and architectural patterns.

• Collaborate on the secure embedding of Power BI reports into client portals and digital products.

• Provide BI and data modelling expertise into broader PMIT delivery initiatives.

• Support technical design discussions where reporting products depend on APIs, portals, integration platforms or application data sources.

• Ensure that BI products can be supported, maintained and evolved by the wider PMIT team.

• Document dashboard logic, data sources, model design, measures and ownership clearly.

D. Governance, Quality & Performance

• Promote trusted reporting through clear data definitions, lineage, ownership and quality controls.

• Ensure dashboards and datasets follow appropriate governance, security and access control standards.

• Monitor and improve report performance, including model efficiency, refresh times and visual performance.

• Identify and resolve issues relating to data quality, duplication, inconsistent definitions or poor reporting design.

• Support the development of BI standards and best practice across PMIT and Property Management.

• Ensure reporting products are supportable, documented and aligned with agreed architectural principles.

• Contribute to the controlled transition from local or unsupported reports to governed, PMIT-endorsed reporting products.

E. Portal Integration & Light Development Support

• Support the embedding or presentation of BI outputs within client portals and digital products.

• Work with developers to ensure reports are wrapped, surfaced or integrated securely and effectively.

• Provide enough understanding of C#/.NET, APIs or web application concepts to collaborate with software engineers.

• Contribute to technical conversations around authentication, permissions, user experience and report access.

• This role is not expected to be the primary developer for business applications, APIs or complex software services.

F. Automation & AI-Driven Analytics

• Lead the evolution of reporting from static dashboards towards intelligent, AI-enhanced decision support solutions.

• Combine business intelligence, automation and AI capabilities to transform how operational and client data is consumed across the organisation.

• Partner with PMIT's Data Architecture, Integration and Development teams to embed AI within reporting, workflows and client-facing products.

• Shape the roadmap for AI-enabled analytics, ensuring solutions align with business priorities, governance requirements and PMIT technology strategy.

• Deliver measurable efficiency gains through automation of reporting, data preparation, validation and insight generation processes.

• Act as a subject matter expert on how Microsoft AI technologies can be applied to Property Management, Client Accounting and Real Estate data.

Skills, Knowledge and Experience

Essential

• Significant experience designing and delivering Power BI dashboards, reports and analytical products.

• Advanced Power BI skills, including DAX, Power Query, semantic modelling and performance optimisation.

• Strong understanding of data visualisation, dashboard design, user experience and data storytelling.

• Experience creating executive, operational and client-facing reporting outputs.

• Strong SQL skills and experience working with structured data sources.

• Understanding of AI use cases for reporting, forecasting, process automation and knowledge management.

• Experience developing automated workflows using Power Automate or equivalent platforms.

• Good understanding of data architecture concepts, including data modelling, semantic layers, curated datasets and reporting marts.

• Ability to translate business requirements into well-designed BI products.

• Experience working with data engineers, developers, architects and business stakeholders.

• Strong understanding of data governance, data quality, access control and reporting standards.

• Ability to document data models, report logic, transformations and business definitions clearly.

• Strong communication skills, with the ability to explain complex data topics to non-technical audiences.

• Experience delivering reporting solutions in a professional, client-focused or enterprise environment.

Desirable

• Experience within Property Management, Real Estate, Finance, Client Accounting or operational reporting.

• Experience with Microsoft Fabric, Azure SQL, Dataflows, Datamarts or related Microsoft data platform capabilities.

• Familiarity with data warehouse, lakehouse or modern ELT/ETL patterns.

• Experience embedding Power BI reports into portals, web applications or client-facing platforms.

• Working knowledge of C#/.NET, APIs or web application concepts, specifically for report embedding or portal integration.

• Exposure to Power Platform, automation tools or workflow technologies.

• Experience with geospatial, property, asset, lease, service charge or facilities management datasets.

• Understanding of security models, row-level security and client-specific reporting access requirements.

What Success Looks Like

• Trusted Power BI dashboards are widely adopted across Middle East Property Management.

• Manual reporting effort is significantly reduced through automation.

• AI-assisted insights help users move from reporting historical data to predicting trends and identifying opportunities.

• Business users can interact with data through natural language and self-service experiences.

• Reporting, automation and AI capabilities are delivered within a governed data architecture aligned to PMIT standards.

• New AI use cases are regularly identified, prioritised and delivered, creating measurable operational and client value.

Benefits

• Agile working approach and exposure to latest technologies

• Join a fast-growing team with a strong delivery pipeline and career growth

• EMEA-wide collaboration with leading professionals across disciplines

• Training and certification support to keep skills ahead of the market

• Supportive line management and competitive remuneration & benefits