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Sr. director, analyst – data & analytics and ai transformation in procurement (remote - emea) (madrid)

Madrid
Gartner
Publicada el 1 mayo
Descripción

Senior Director, Analyst – Data & Analytics and AI Transformation in Procurement (East Coast or Central – Canada OR UK & EUROPE)

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Siga leyendo para descubrir lo que necesitará para tener éxito en este puesto, incluyendo habilidades, cualificaciones y experiencia.

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About the role

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Gartner Analysts are industry thought leaders who create must‑have research, market predictions and best practices for a broad range of world‑leading organizations. A Senior Director serves as a leader within Gartner’s Business and Technology Insights (BTI) group, establishing oneself as a credible voice within their designated market at local, regional and integral levels. Utilizing exceptional research and analytical skills, a Senior Director plays a significant role in producing pragmatic and provocative research which Gartner clients consume and apply to propel their business toward key objectives.

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They are a trusted source of advice for clients, reinforcing Gartner’s value every day by engaging them via in‑person meetings, virtual meetings, sales support visits and Gartner conferences to discuss complex client challenges and offer appropriate recommendations.

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What you will do

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Create innovative, thought provoking, and highly leveraged “must‑have research” content

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Develop new research and ideas through thought leadership and offer compelling, actionable approaches to client’s needs and requests that accelerate the client’s ability to act

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Be capable of taking strong positions supported by fact‑based evidence as part of mission‑critical research for Gartner clients

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Develop in‑depth analysis to identify the root cause of a client’s barriers or overall needs and reframe thinking to drive strategy forward

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Demonstrate thought leadership in establishing research positions across a team of analysts

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Bring provocative, independent insights to Gartner leaders that can evolve the course of a research agenda

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Research, analyze and predict market trends and shifts to provide clients and vendors with actionable insights

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Provide clients and prospects with actionable advice aligned to their designated content area via virtual or face‑to‑face interactions

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Create and deliver high‑value presentation materials on and off stage for Gartner events, industry and professional association conferences, and client briefings

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Support Research and Sales: Provide sales support serving as voice of the market to help research teams create content and to drive engagement with clients to make progress against their critical priorities to grow their business

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Provide high quality and timely research content peer review

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Build credibility as an industry expert to represent Gartner research, methodology and strategy

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Actively participate in innovation, ideation, and research discussions and collaborate effectively with peers in the research community

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Identify research process improvements or develop new processes that help the team and Research & Advisory provide excellent service delivery

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Be a mentor and a coach by supporting more junior team members

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Be client‑centric while actively seeking to help clients engage regularly and often with Gartner research and interactions

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Subject Matter Expertise

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Demonstrated experience leading end‑to‑end AI transformation initiatives within procurement functions, including opportunity assessment, solution design, implementation and change management, and value realization

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Proven track record of integrating AI technologies (e.g., machine learning, NLP, intelligent automation, LLMs, and/or agents) into procurement processes such as sourcing, contract management, supplier risk, and spend analytics

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Ability to articulate and quantify the business impact and ROI of AI adoption in procurement (e.g., cost savings, process efficiency, compliance, supplier innovation)

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Demonstrated success in designing and executing procurement strategies that leverage advanced analytics, automation, and AI to deliver measurable business outcomes (e.g., cost reduction, risk mitigation, supplier innovation)

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Deep expertise in building and scaling data foundations necessary for AI in procurement, including data governance, data quality, master data management, and data integration

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Earlier career hands‑on experience architecting and deploying advanced analytics solutions for procurement, such as predictive analytics, scenario modeling, and real‑time dashboards

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Familiarity with procurement data models, taxonomies, and the use of structured/unstructured data to drive actionable insights

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Practical knowledge of leading AI/ML platforms (e.g., Microsoft Copilot, AWS SageMaker, Azure ML, Google AI), analytics tools (e.g., Tableau, Power BI, Alteryx), and procurement technology (e.g., SAP Ariba, Coupa)

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Experience collaborating with data scientists

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