Manager - Cloud, Data & AI - Cloud & Data Platform Architect

Your TeamAs a Manager in PwC’s Cloud, Data & AI team, you will take a leading role in helping clients transform data into trusted, scalable, and business-critical assets. You will drive complex data management, governance, platform, and AI-readiness initiatives from strategy through execution, helping organisations build the foundations for better decisions, smarter operations, and sustainable digital growth. You will work closely with senior client stakeholders, multidisciplinary PwC teams, and technology specialists to shape high-impact transformation programmes, translate ambition into pragmatic delivery, and create measurable value through modern data and AI capabilities. Your Impact Analyze, design and identify the linkages and interactions between the component parts of entire systems. Consult clients on their data architecture and provide an analysis of efficiency, integration, cost, feasibility and technical dimensions. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Continuously develop skills outside your skill set and stay up to date with new technologies and market demand. Effectively mentor others, using work reviews as opportunities to deepen team members‘ expertise. Address conflicts or issues, engaging in difficult conversations with clients, team members, and other stakeholders, escalating where appropriate. Coach and upskill your teammates to ensure the team growth and long-term success Your Skill Set Solid knowledge and proven experience with Azure and Microsoft technology stack (e.g., Fabric), supported by advanced-level certifications (e.g., Azure Administrator, Solution Architect, Fabric Engineer, etc.). Microsoft certification acquired, either AZ-305 or DP-600/DP-700 Leadership and team development Expertise in Azure and Microsoft technologies Strong analytical and problem-solving abilities A university degree in fields such as business informatics, computer science, physics, mathematics, or any engineering discipline is preferred.. Over 7 years of work experience focusing on data engineering, analytics, or data science, with consulting experience being a plus. Experience in sourcing, preparing, and delivering end-to-end data architecture or platform solutions to internal or external clients. Excellent communication skills with proficiency in English. German proficiency is preferred, but not required Any questions? We are happy to help.