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.
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.
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.
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Promote a digital-first approach to reporting, governance, and information management.
Propose and implement practical automation solutions that improve efficiency, control, and user experience.
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.
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.
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.
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.
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.
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. 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. Analytics Delivery & Governance
Qualifications
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 analysis, automation, or advanced analytics use cases.
Strong experience designing and delivering reporting solutions in PMO / project controls / infrastructure / engineering environments.
Experience working in a GCC / offshore / shared services / UK–India delivery model.
Strong stakeholder management, communication, presentation, and influencing skills.
Demonstrated ability to translate business requirements into scalable analytics solutions.
Desirable
Experience in Transport & Infrastructure sectors, such as Rail, Roads, Civils, Water, or multidisciplinary infrastructure programmes.
Knowledge of Earned Value Analysis (EVA/EVM), project controls methodologies, and performance management frameworks.
Familiarity with Primavera P6, cost/commercial datasets, and project delivery reporting systems.
Exposure to ERP platforms such as SAP, Oracle, or similar enterprise systems.
Experience with cloud or modern data platforms, such as Azure, AWS, Databricks, ADF, or equivalent.
Exposure to additional BI / analytics tools such as Tableau, Qlik, or similar.
Understanding of AI / ML / GenAI applications for analytics, automation, or reporting use cases.
Relevant professional certifications such as PMP, PRINCE2, Agile / Scrum, or equivalent.
Tools & Technology
Power BI – dashboards, DAX, modelling, visualisation
Power Automate – workflow automation
Power Apps – digital forms and process enablement
Advanced Excel – Power Query, Pivot Tables, advanced analytics support
SQL – querying and data manipulation
Python – data analysis, automation, advanced analytics
SharePoint / ERP / project data systems
Exposure to PMO / project controls tools such as Primavera P6 and related reporting environments
Awareness of modern digital and cloud analytics ecosystems is advantageous.
BGV:
Employment with WSP India is subject to the successful completion of a background verification (“BGV”) check conducted by a third-party agency appointed by WSP India.
Candidates are advised to ensure that all information provided during the recruitment process — including documents uploaded — is accurate and complete, both to WSP India and its BGV partner”.
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 analysis, automation, or advanced analytics use cases. - Strong experience designing and delivering reporting solutions in PMO / project controls / infrastructure / engineering environments. - Experience working in a GCC / offshore / shared services / UK–India delivery model. - Strong stakeholder management, communication, presentation, and influencing skills. - Demonstrated ability to translate business requirements into scalable analytics solutions. Desirable - Experience in Transport & Infrastructure sectors, such as Rail, Roads, Civils, Water, or multidisciplinary infrastructure programmes. - Knowledge of Earned Value Analysis (EVA/EVM), project controls methodologies, and performance management frameworks. - Familiarity with Primavera P6, cost/commercial datasets, and project delivery reporting systems.
About WSP
Professional Services10,001+Founded 1959
WSP is a global professional services firm headquartered in Montréal, providing engineering, advisory, and science-based expertise. It serves clients across transportation and infrastructure, property and buildings, earth and environment, energy, water, and other sectors.
