Team Leader - Data Analytics

We are seeking a highly capable Team Leader – Data Analytics (P4) to lead and manage the Data Analytics function within the UK&I Transport & Infrastructure PMO GCC . The role is responsible for delivering high-quality, scalable, and data-driven analytics solutions across data engineering, visualisation, reporting, automation, and advanced analytics , enabling effective decision-making across project controls, programme performance, portfolio governance, and strategic leadership reporting. This is a dual leadership role requiring both strong technical expertise and effective people leadership . The successful candidate will lead a team of data analytics professionals, drive reporting standardisation, champion digital innovation, and work closely with Head -T&I PMO, PMO Leads and UK stakeholders to continuously streamline, optimise, and enhance reporting and insights across projects. 1. Team Leadership & People Management • Lead, manage, and develop a high-performing team of Data Analytics professionals within the GCC. • Provide day-to-day leadership across analytics delivery, team priorities, and performance outcomes. • Drive resource planning, workload allocation, and delivery prioritisation across multiple concurrent projects and PMO initiatives. • Recruit, onboard, mentor, and retain talent aligned to business growth and capability requirements. • Conduct performance reviews, set development goals, and implement structured upskilling plans for team members. • Foster a strong “one-team” culture across GCC and UK / onshore stakeholders, promoting collaboration, accountability, and shared success. • Build sustainable team capability in reporting, automation, analytics, and digital PMO solutions. 2. Reporting Standardisation & Scalable Delivery • Define and implement a standardised reporting solutions across projects and portfolios which are scalable, efficient, and aligned to PMO governance standards . • Work in consultation with PMO Leads in GCC and UK stakeholders to align project reporting requirements to the appropriate maturity level. • Standardise key dashboards, templates, KPIs, and reporting approaches to support consistency across the portfolio. • Drive adoption of common data models and structured reporting approaches across teams. 3. Analytics Delivery & Governance • Oversee end-to-end analytics delivery, including: Data ingestion, Data transformation and modelling, Validation and QA/QC, Dashboard development and reporting, Insight generation and stakeholder presentation • Ensure all outputs meet expected standards for quality, consistency, governance, auditability, and repeatability . • Establish and maintain QA/QC frameworks , delivery checklists, KPI libraries, and reporting standards. • Create structured operating models for analytics delivery, including templates, SOPs, naming conventions, and version control. • Drive lessons learned and continuous improvement across analytics delivery processes. 4. Dashboarding, Visualisation & Reporting • Lead the design and development of Power BI dashboards and interactive reporting solutions to support: • Project controls performance • Programme and portfolio reporting • Cost and commercial insights • Risk and issue visibility • Resource utilisation and team performance • Leadership and business review reporting • Ensure dashboards are intuitive, executive-friendly, and tailored to stakeholder needs. • Support standardisation of reporting outputs across tools such as Power BI, Excel, and other approved visualisation platforms . • Improve visibility and decision-making through automated, real-time, or near real-time reporting where appropriate. 5. Automation & Power Platform Enablement • Drive adoption of Power Platform solutions to streamline PMO and project reporting processes, including: • Power BI for analytics and visualisation • Power Automate for workflow and process automation • Power Apps for digital forms, data capture, and process enablement • Identify repetitive manual processes and convert them into efficient automated solutions. • Design integrated workflows connecting project data, approvals, alerts, and reporting outputs. • Promote a digital-first approach to reporting, governance, and information management. • Propose and implement practical automation solutions that improve efficiency, control, and user experience. 6. Technical Analytics, Data Engineering & Advanced Insights • Build and maintain integrated data models across multiple systems and data sources, such as SharePoint, ERP / finance systems, Project controls tools. • Promote use of advanced Excel, Power Query, DAX, SQL, Python, and modern data engineering practices where appropriate. • Explore opportunities to apply advanced analytics, AI/ML, GenAI, and automation to improve efficiency and insight generation. • Translate complex datasets into clear, actionable, business-relevant insights for PMO, project, and leadership stakeholders. 7. PMO, Project Controls & Business Integration • Work closely with PMO Leads, Project Controls teams, Commercial teams, and Delivery stakeholders to align analytics outputs with business and project needs. • Ensure reporting supports visibility across Cost, Schedule, Risk, Commercial performance, Resource and delivery metrics • Integrate analytics outputs with project controls and PMO processes to strengthen governance and decision-making. • Support alignment of reporting with project and portfolio performance frameworks. • Enable joined-up reporting across PMO, controls, commercial, and operational functions. 8. Stakeholder Engagement & Collaboration • Act as the primary analytics SPOC for collaboration between GCC and UK stakeholders on reporting and analytics requirements. • Partner with PMO leadership, Project Directors, Project Managers, and functional leads to understand evolving reporting needs. • Present insights through governance forums, showcases, leadership reviews, and stakeholder meetings. • Co