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. Collaborate with cross-functional teams including IT, Finance, Risk, Commercial, and Project Controls to deliver integrated solutions. Build trusted relationships and position the GCC analytics team as a value-adding strategic partner. 9. Strategy, Innovation & Continuous Improvement Drive the analytics capability roadmap for the PMO GCC, aligned to business needs and digital strategy. Continuously review current ways of working and identify opportunities to streamline, optimise, and improve reporting and analytics delivery. Stay up to date with the latest developments in analytics, Power Platform, automation, AI, and emerging technology , and translate relevant advancements into practical solutions for projects and PMO teams. Introduce new tools, methods, and innovations to improve reporting maturity and operational efficiency. Support knowledge management and reusable solution development across the analytics function. Define and track service performance metrics, team KPIs, and adoption measures. 10. Capability Building & Training Build a sustainable and continuously improving analytics capability within GCC. Develop structured training and development plans such as Power Platform, PMO reporting standards and KPI design etc. Promote data literacy and dashboard adoption across PMO and project teams. Ensure the analytics team remains technically current and aligned to evolving business and technology requirements. Essential Bachelor’s degree in Data Science, Engineering, Computer Science, Analytics, Information Systems, or related discipline . 8–12 years of experience in Data Analytics / BI / PMO Reporting / Project Controls Analytics / Management Information roles. Proven team management experience leading and managing Data Analytics professionals , including workload allocation, mentoring, performance management, structured upskilling, and delivery governance. Strong hands-on experience in Power Platform, SQL and other reporting and automation solutions. Hands-on experience with Python for data analysi