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

Line of Service Advisory Industry/Sector Not Applicable Specialism Emerging Technologies Management Level Manager Job Description & Summary Your team As a Manager in the Cloud, Data & AI team, you will contribute with your expertise around Microsoft technologies (Azure and Data Platforms), their interplay in ecosystems involving multi-vendor tools and applications (such as Master Data Management, BI, Analytics, AI, etc.) and data architecture knowledge and experience. 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 Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 43 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date