YOUR IMPACT You will set the analytics strategy by owning the vision, strategy, and roadmap for data, analytics, and reporting across CSEs AI portfolio. You will also lead key stakeholder relationships by serving as the key analytics partner to Product, engineering, and CSE leadership, shaping how data informs decisions across the function. You will also define and own CSEs data and analytics strategy, translating CSE leadership priorities into a coherent roadmap for metrics, reporting infrastructure, and insight generation.

You will lead, mentor, and develop a team of 8-9 technical and non-technical colleagues —including data scientists, analysts, data engineers, and program/coordination staff — setting standards and ways of working that fit each discipline, and hiring for open roles as needed. represent the A&I; function in planning and strategy discussions and translate leadership priorities into team execution. You will architect the metrics framework and data infrastructure strategy that underpins how the CSE A&I; team measures AI tool performance, adoption, and ROI —ensuring it scales across a growing. You will elevate how CSE and Product leadership consume data — building the narrative, framing, and storytelling that turns complex analysis into clear decisions.

You will partner with senior leaders across A&E;, product, engineering, and activation teams to align on a shared strategy for KPIs, reporting standards, and success metrics across CSEs capability areas. You will design standards for CSEs dashboard and reporting ecosystem, ensuring consistency, scalability, and self-service capability across the teams product portfolio. YOUR GROWTH You are someone who thrives in a high-performance environment,



bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact.

Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development.

General community: YOUR QUALIFICATIONS AND SKILLS 10+ years' experience leading teams of 8+ people that include both technical (analytics, data science, data engineering) and non-technical (program management, coordination, adoption/change) roles, including mentoring and setting direction across disciplines Demonstrated success setting and executing data, analytics, or reporting strategy, including building the roadmap and prioritization frameworks that support it Senior Stakeholder Management: Track record of partnering with and influencing senior stakeholders, driving alignment across competing priorities across functions Analytical & Technical Depth: Deep expertise in data exploration, SQL, KPI architecture, and generating insight from large and complex datasets, with fluency in modern data and reporting infrastructure Ability to translate dense, technical findings into narratives that resonate with senior, non-technical audiences — without losing the nuance that matters Experience setting reporting and dashboarding standards at scale, with an eye for what makes analytics infrastructure durable and self-service All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites. #

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