AI Manager- EY wavespace Data & AI hub
@ ernstandyoung
ES | 2025-12-25
EY wavespace Madrid's Data & AI Hub pitches a senior AI lead role straddling research-quality Generative/Agentic AI work and high-velocity client-facing deliverables, with pre-sales, proposals,...
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EY wavespace Madrid's Data & AI Hub pitches a senior AI lead role straddling research-quality Generative/Agentic AI work and high-velocity client-facing deliverables, with pre-sales, proposals, and project governance baked in. Expect to design, deploy, and tune Gen AI and Agentic AI solutions to automate workflows, stay current on AI breakthroughs, and translate complex models into business impact for finance-heavy clients. The tech focus is generative models, agentic systems, data analytics, robotics; leadership and cross-functional collaboration are as important as code. The pitfalls are real: the role blends deep technical execution with sales and relationship work, which can dilute time for real experimentation. The credentials demand are steep—PhD or MSc, 6+ years, and a portfolio—but the payoff is exposure to marquee AI programs at a multinational consultancy. The market stance: high demand for AI leadership, but watch for hype vs execution and clear problem framing.
Enverus seeks a Marketing Operations Sr Analyst to manage and optimize marketing platforms, focusing on data hygiene, vendor collaboration, and cross-functional support. Their differentiator is an...
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Enverus seeks a Marketing Operations Sr Analyst to manage and optimize marketing platforms, focusing on data hygiene, vendor collaboration, and cross-functional support. Their differentiator is an emphasis on emerging AI applications within marketing functions, which entails some risk of untested technologies. The position requires 5-10 years of relevant experience and offers a salary that is not explicitly provided, with a preference for candidates familiar with Salesforce and other Martech tools.
Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.
Talan seeks an IT project manager to oversee a three-year HR system migration and integration project for a European financial group, emphasizing risk management and stakeholder communication. The...
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Talan seeks an IT project manager to oversee a three-year HR system migration and integration project for a European financial group, emphasizing risk management and stakeholder communication. The standout feature is the multi-country scope, with a risk of project delays due to complex compliance requirements. The role requires fluent Spanish and English, technical migration experience, and familiarity with agile or waterfall methodologies. Salary details are not provided, and the position is hybrid in Madrid, with potential work permit management.
Fever seeks an SEO & AI Automation Architect to design and manage scalable workflows leveraging AI tools, cloud platforms, and automation frameworks like n8n and Make. The role's differentiator is...
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Fever seeks an SEO & AI Automation Architect to design and manage scalable workflows leveraging AI tools, cloud platforms, and automation frameworks like n8n and Make. The role's differentiator is the emphasis on integrating Generative AI into workflows for content and audit automation, with a risk of over-reliance on complex systems that may complicate troubleshooting. Experience in engineering, data analytics, or STEM fields, and proficiency with programming languages are required while salary details are unspecified. The position involves automation, infrastructure building, and performance monitoring.
This Compliance Officer role within S&P Global's Control Room involves monitoring communications between restricted groups, managing insider lists, analyzing risk indicators, and collaborating...
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This Compliance Officer role within S&P Global's Control Room involves monitoring communications between restricted groups, managing insider lists, analyzing risk indicators, and collaborating across teams to mitigate conflicts of interest and protect confidential information. A notable differentiator is the use of generative AI tools for data analysis, which could backfire if over-relied upon. The main risk lies in the responsibility for oversight and escalation of compliance issues, where errors could lead to regulatory penalties or reputational damage. Salary details are not specified in the description.
Senior Analyst in the Risk & Resilience Practice promises global exposure across 65+ countries, a culture of rapid learning, and a pipeline of client-facing risk work—from credit risk to advanced...
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Senior Analyst in the Risk & Resilience Practice promises global exposure across 65+ countries, a culture of rapid learning, and a pipeline of client-facing risk work—from credit risk to advanced analytics and regulation. The stated tech stack reads like a traditional analytics bench: Python and R for modeling, SQL and NoSQL for data handling, with Matlab or SAS as fallbacks; NLP, deep learning, anomaly detection, and GenAI/LLM are noted as pluses. What’s missing is a concrete data-engineering footprint: no cloud platforms, orchestration, or modern data-pipeline tooling, which limits real-world scale and repeatability. The role demands a Master’s degree and 2+ years in risk analytics or consultancy, plus travel—compact, high-velocity work. Benefits are described as world-class, but the real draw is mentorship and diverse collaboration; the downside is potential burnout in a high performance/high reward culture. A solid analytics role, modest on platform modernization.
EY wavespace Madrid's Data & AI Hub pitches a senior AI lead role straddling research-quality Generative/Agentic AI work and high-velocity client-facing deliverables, with pre-sales, proposals, and project governance baked in. Expect to design, deploy, and tune Gen AI and Agentic AI solutions to automate workflows, stay current on AI breakthroughs, and translate complex models into business impact for finance-heavy clients. The tech focus is generative models, agentic systems, data analytics, robotics; leadership and cross-functional collaboration are as important as code. The pitfalls are real: the role blends deep technical execution with sales and relationship work, which can dilute time for real experimentation. The credentials demand are steep—PhD or MSc, 6+ years, and a portfolio—but the payoff is exposure to marquee AI programs at a multinational consultancy. The market stance: high demand for AI leadership, but watch for hype vs execution and clear problem framing.
Enverus seeks a Marketing Operations Sr Analyst to manage and optimize marketing platforms, focusing on data hygiene, vendor collaboration, and cross-functional support. Their differentiator is an emphasis on emerging AI applications within marketing functions, which entails some risk of untested technologies. The position requires 5-10 years of relevant experience and offers a salary that is not explicitly provided, with a preference for candidates familiar with Salesforce and other Martech tools.
Talan seeks an IT project manager to oversee a three-year HR system migration and integration project for a European financial group, emphasizing risk management and stakeholder communication. The standout feature is the multi-country scope, with a risk of project delays due to complex compliance requirements. The role requires fluent Spanish and English, technical migration experience, and familiarity with agile or waterfall methodologies. Salary details are not provided, and the position is hybrid in Madrid, with potential work permit management.
Fever seeks an SEO & AI Automation Architect to design and manage scalable workflows leveraging AI tools, cloud platforms, and automation frameworks like n8n and Make. The role's differentiator is the emphasis on integrating Generative AI into workflows for content and audit automation, with a risk of over-reliance on complex systems that may complicate troubleshooting. Experience in engineering, data analytics, or STEM fields, and proficiency with programming languages are required while salary details are unspecified. The position involves automation, infrastructure building, and performance monitoring.
This Compliance Officer role within S&P Global's Control Room involves monitoring communications between restricted groups, managing insider lists, analyzing risk indicators, and collaborating across teams to mitigate conflicts of interest and protect confidential information. A notable differentiator is the use of generative AI tools for data analysis, which could backfire if over-relied upon. The main risk lies in the responsibility for oversight and escalation of compliance issues, where errors could lead to regulatory penalties or reputational damage. Salary details are not specified in the description.
Senior Analyst in the Risk & Resilience Practice promises global exposure across 65+ countries, a culture of rapid learning, and a pipeline of client-facing risk work—from credit risk to advanced analytics and regulation. The stated tech stack reads like a traditional analytics bench: Python and R for modeling, SQL and NoSQL for data handling, with Matlab or SAS as fallbacks; NLP, deep learning, anomaly detection, and GenAI/LLM are noted as pluses. What’s missing is a concrete data-engineering footprint: no cloud platforms, orchestration, or modern data-pipeline tooling, which limits real-world scale and repeatability. The role demands a Master’s degree and 2+ years in risk analytics or consultancy, plus travel—compact, high-velocity work. Benefits are described as world-class, but the real draw is mentorship and diverse collaboration; the downside is potential burnout in a high performance/high reward culture. A solid analytics role, modest on platform modernization.
