<div class="content-intro"><p>Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.</p> <p>If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.</p></div><p><span style="text-decoration: underline; font-size: 10pt;"><strong>Senior Internal Audit Manager - Big Data and AI Strategy for Internal Audit</strong></span></p> <p><span style="font-size: 10pt;"><strong>Ebury Madrid Office - Hybrid: 4 days in the office, 1 day working from home per week</strong></span></p> <h1><span style="font-size: 10pt;"><strong>Role Overview</strong></span></h1> <p><span style="font-size: 10pt;">The <strong>Senior Internal Audit Manager - Big Data and AI Strategy for Internal Audit</strong> is a subject matter expert and strategic lead responsible for embedding advanced analytics, Big Data infrastructure, and Artificial Intelligence into the Internal Audit lifecycle. This role bridges complex data engineering and machine learning principles with internal control evaluation, algorithmic governance, and automated risk monitoring across enterprise platforms.</span></p> <table> <thead> <tr> <th> <p><span style="font-size: 10pt;"><strong>Qualification Area</strong></span></p> </th> <th> <p><span style="font-size: 10pt;"><strong>Ideal Candidate Specification</strong></span></p> </th> </tr> </thead> <tbody> <tr> <td> <p><span style="font-size: 10pt;"><strong>Target Experience</strong></span></p> </td> <td> <p><span style="font-size: 10pt;">5+ years in Data Analytics, AI Governance, or IT Audit specializing in Big Data platforms and Machine Learning models within Financial Services or Tech.</span></p> </td> </tr> <tr> <td> <p><span style="font-size: 10pt;"><strong>Core Credentials</strong></span></p> </td> <td> <p><span style="font-size: 10pt;">CISA, CISM, CCAK, or Certified Data Scientist/Engineer credential required; CIA or ACA preferred.</span></p> </td> </tr> <tr> <td> <p><span style="font-size: 10pt;"><strong>Technical Stack</strong></span></p> </td> <td> <p><span style="font-size: 10pt;">SQL, Python, R, Snowflake, Databricks, AWS Big Data ecosystem, Spark, Tableau/PowerBI, AuditBoard, Claude.</span></p> </td> </tr> <tr> <td> <p><span style="font-size: 10pt;"><strong>Regulatory Knowledge</strong></span></p> </td> <td> <p><span style="font-size: 10pt;">EU AI Act, NIST AI Risk Management Framework, DORA, GDPR, ISO 42001, SR 11-7 Model Risk Management.</span></p> </td> </tr> <tr> <td> <p><span style="font-size: 10pt;"><strong>Domain Focus</strong></span></p> </td> <td> <p><span style="font-size: 10pt;">Data pipeline integrity, algorithmic bias, AI transparency, continuous auditing models, and automated testing.</span></p> </td> </tr> </tbody> </table> <h1><span style="font-size: 10pt;"><strong>Job Purpose</strong></span></h1> <p><span style="font-size: 10pt;">The <strong>Senior Internal Audit Manager - Big Data and AI Strategy for Internal Audit</strong> drives the strategy and implementation of AI-driven continuous monitoring, data analytics, and algorithmic audit frameworks. Reporting to the Group Head of Internal Audit, the role provides independent assurance to executive leadership and the Audit Committee on the effectiveness of data governance, machine learning controls, and the integration of Big Data technologies into the audit function.</span></p> <h1><span style="font-size: 10pt;"><strong>Key Responsibilities</strong></span></h1> <h2><span style="font-size: 10pt;"><strong>AI Governance & Algorithmic Assurance</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Lead risk-based audits evaluating Machine Learning (ML) models, Artificial Intelligence (AI) implementations, and automated decision-making engines for bias, explainability, and governance compliance.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Assess operational compliance with emerging regulations such as the EU AI Act, NIST AI RMF, and internal model risk management frameworks (e.g., SR 11-7).</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Review Generative AI and LLM deployments within internal workflows to ensure data privacy, prompt security, and intellectual property protection.</span></li> </ul> <h2><span style="font-size: 10pt;"><strong>Big Data Architecture & Data Pipeline Auditing</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Evaluate controls across enterprise Big Data infrastructure (e.g., Snowflake, Databricks, AWS Data Lakes), focusing on data lineage, ETL processes, access control