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Tier-1 brand, hybrid role, popular PM title, metro location, and broad skill requirements increase competition.
Core PM skills are transferable, but strong data-led delivery focus increases industry specificity.
Principal-level enterprise delivery and data-driven expertise create stringent selection filters.
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Drive strategic delivery across enterprise programmes, platforms, and capability initiatives with a focus on data-backed prioritisation and decision-making.
Lead and set benchmarks in project management practices, embedding data-driven decision frameworks and statistical methods in delivery and performance management.
Coach and develop communities of practice, supporting teams in applying data science techniques, structured problem solving, and evidence-based decision making.
Work Experience Required: Experience leading work in global, cross-functional environments and enterprise-scale programmes (explicitly preferred).
Degree or equivalent experience in Statistics, Mathematics, Data Science, Engineering, or related quantitative field; advanced degree (MSc or PhD) preferred.
Strong analytical capability including understanding of statistical methods, data science fundamentals, and experience with forecasting, predictive analytics, and experimentation frameworks (e.g., A/B testing).
Up to 10% travel; hybrid office/remote working; PMI or equivalent certification preferred.
Experienced in managing enterprise-level delivery with a strong emphasis on embedding data-driven and statistical approaches within cross-functional and global teams.
Demonstrates strategic influence skills by using evidence-based insights to build stakeholder trust and guide decision-making conversations.
Proven ability to build practitioner capability and coach teams in advanced analytics, quantitative decision frameworks, and continuous improvement methodologies.