Experteer Overview
You will lead the analytics strategy for CSE's AI portfolio, guiding the vision, roadmap, and data infrastructure across a growing scope. In this high-visibility role, you’ll manage a cross-disciplinary team of 8–9, partner with Product, Engineering, and CSE leadership, and translate leadership priorities into actionable analytics initiatives. This position combines strategic leadership with hands-on delivery to measure AI tool performance, ROI, and impact at scale. You’ll shape how data informs decisions and elevate storytelling to drive senior leadership alignment.

Compensaciones / Beneficios
• Define and own the analytics strategy, roadmap, and data infrastructure for the AI portfolio
• Lead and develop a team of 8–9 (data scientists, analysts, data engineers, and program staff) and hire as needed
• Partner with Product, Engineering, and CSE leadership to align analytics with business priorities
• Architect metrics framework and reporting infrastructure to measure AI tool performance, adoption, and ROI
• Set operating model for prioritization, resourcing, and delivery across product managers and leaders
• Elevate data storytelling and narrative-building to enable clear decision making
• Collaborate with senior leaders across Au0026E, product, engineering,



and activation to agree on KPIs and standards
• Design standards for dashboards and self-service analytics across the product portfolio
• Represent Au0026I in planning and strategy discussions and translate priorities into team execution
• Define and translate leadership priorities into a coherent analytics roadmap

Responsabilidades
• 10+ years of experience leading multi-disciplinary teams (technical and non-technical)
• Proven track record in setting and executing data/analytics or reporting strategy with roadmaps
• Strong senior stakeholder management and cross-functional influence
• Deep analytical and technical expertise: data exploration, SQL, KPI architecture, large datasets
• Ability to translate complex findings into compelling narratives for senior audiences
• Experience with dashboarding and reporting standards at scale; durable analytics infrastructure
• Portfolio-level prioritization and resource allocation experience
• Hands-on familiarity with AI-powered tools

Requisitos principales
• competitive salary
• comprehensive benefits package
• learning and apprenticeship culture
• integral, diverse community
• mentorship and growth opportunities
• high-visibility leadership role

📌 Principal Product Manager I - Client Service Enablement (Madrid)
🏢 McKinsey u0026
📍 Madrid