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 roadmapResponsabilidades
- 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 toolsRequisitos 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