Senior AI Analytics & Strategy Leader

McKinsey & Company, Inc.

Madrid

Presencial

EUR 140.000 - 190.000

Jornada completa

Hace 5 días
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Ventajas ofrecidas por este puesto de trabajo

Competitive salary
Comprehensive benefits package
Global team across 65+ countries

Descripción de la vacante

McKinsey & Company in Madrid seeks a senior analytics leader to own the vision, strategy, and roadmap for data, analytics, and reporting across CSE's AI portfolio. You will lead a team of 8-9 professionals and partner with Product, engineering, and leadership to shape decisions through data.

You will define KPI standards, reporting infrastructure, and self-service analytics, while mentoring teams and expanding the impact of AI-enabled tools across the organization.

Formación

  • Proven success leading large analytics teams (8+).
  • Experience defining data/analytics strategy and roadmaps.
  • Track record influencing senior stakeholders across functions.
  • Deep skills in data exploration, KPI design, and data systems.
  • Ability to translate complex findings into executive narratives.
  • Experience setting scalable reporting and dashboards standards.
  • Ability to allocate resources and prioritize across teams.

Responsabilidades

  • Own the analytics strategy, vision, and roadmap for CSE AI portfolio.
  • Lead 8–9 technical and non-technical colleagues and hire as needed.
  • Partner with Product, engineering, and leadership to inform decisions.
  • Architect metrics framework and data infra to measure ROI and adoption.
  • Set operating model for prioritization, resourcing, and delivery.
  • Elevate data storytelling for leaders to drive action.

Conocimientos

Team leadership
Strategy & roadmap
Senior stakeholder mgmt
Analytical depth
Executive communication
Dashboard strategy
Prioritization across teams
AI tools fluency

Descripción del empleo

McKinsey & Company in Madrid seeks a senior analytics leader to own the vision, strategy, and roadmap for data, analytics, and reporting across CSE's AI portfolio. You will lead a team of 8-9 professionals and partner with Product, engineering, and leadership to shape decisions through data.

You will define KPI standards, reporting infrastructure, and self-service analytics, while mentoring teams and expanding the impact of AI-enabled tools across the organization.

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