Senior Internal Audit Manager - Big Data and AI Strategy for Internal Audit
<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>
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<p><span style="font-size: 10pt;"><strong>Qualification Area</strong></span></p>
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<p><span style="font-size: 10pt;"><strong>Ideal Candidate Specification</strong></span></p>
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<p><span style="font-size: 10pt;"><strong>Target Experience</strong></span></p>
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<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>
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<p><span style="font-size: 10pt;"><strong>Core Credentials</strong></span></p>
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<p><span style="font-size: 10pt;">CISA, CISM, CCAK, or Certified Data Scientist/Engineer credential required; CIA or ACA preferred.</span></p>
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<p><span style="font-size: 10pt;"><strong>Technical Stack</strong></span></p>
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<p><span style="font-size: 10pt;">SQL, Python, R, Snowflake, Databricks, AWS Big Data ecosystem, Spark, Tableau/PowerBI, AuditBoard, Claude.</span></p>
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<p><span style="font-size: 10pt;"><strong>Regulatory Knowledge</strong></span></p>
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<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>
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<p><span style="font-size: 10pt;"><strong>Domain Focus</strong></span></p>
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<p><span style="font-size: 10pt;">Data pipeline integrity, algorithmic bias, AI transparency, continuous auditing models, and automated testing.</span></p>
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<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>
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<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>
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<h2><span style="font-size: 10pt;"><strong>Big Data Architecture & Data Pipeline Auditing</strong></span></h2>
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<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 controls, and data quality.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Conduct technical reviews of automated data pipelines supporting core business operations, financial reporting, and regulatory submissions.</span></li>
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<h2><span style="font-size: 10pt;"><strong>Continuous Audit Automation & Advanced Analytics Strategy</strong></span></h2>
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<li style="font-size: 10pt;"><span style="font-size: 10pt;">Develop and execute the Internal Audit Big Data & AI roadmap, designing continuous audit techniques to test full population datasets automatically.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Build predictive models, anomaly detection algorithms, and automated audit routines to identify key risk indicators (KRIs) in real time.</span></li>
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<h2><span style="font-size: 10pt;"><strong>Regulatory Alignment & Data Ethics</strong></span></h2>
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<li style="font-size: 10pt;"><span style="font-size: 10pt;">Audit data protection and privacy mechanisms (GDPR/CCPA) applied within large-scale data storage and analytics environments.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Establish ethical AI evaluation criteria within the internal control framework, addressing data drift, model decay, and algorithmic fairness.</span></li>
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<h2><span style="font-size: 10pt;"><strong>Stakeholder Management & Team Enablement</strong></span></h2>
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<li style="font-size: 10pt;"><span style="font-size: 10pt;">Partner with Chief Data Officers, Chief AI Officers, Head of Data Engineering, and Data Science leads to provide proactive risk guidance.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Upskill the Internal Audit department in data analytics techniques, toolings, and AI-driven audit tools.</span></li>
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<h1><span style="font-size: 10pt;"><strong>Technical Competencies & Experience Requirements</strong></span></h1>
<h2><span style="font-size: 10pt;"><strong>Professional Experience</strong></span></h2>
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<li style="font-size: 10pt;"><span style="font-size: 10pt;">Minimum 5 years of experience in data analytics, AI governance, model risk auditing, or data platform auditing within a cloud-native tech or financial services platform.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Hands-on proficiency with scripting languages (Python, SQL), Big Data technologies (Snowflake, Spark, AWS S3/Redshift) and AI agents (Claude).</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Demonstrated track record of designing automated audit analytics and embedding AI tools into audit methodologies.</span></li>
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<h2><span style="font-size: 10pt;"><strong>Certifications</strong></span></h2>
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<li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Certified Information Systems Auditor (CISA)</strong> or <strong>Certificate of Cloud Auditing Knowledge (CCAK)</strong></span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Certified Data Scientist / Machine Learning Specialist</strong> (AWS/GCP/Azure or equivalent)</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Certified Internal Auditor (CIA)</strong> highly advantageous</span></li>
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<h2><span style="font-size: 10pt;"><strong>Skills & Competencies</strong></span></h2>
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<li style="font-size: 10pt;"><span style="font-size: 10pt;">Strong ability to evaluate complex machine learning architectures and translate technical AI risks into actionable insights for non-technical leadership.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Forward-thinking mindset with passion for leverage automation, generative AI, and advanced analytics to transform internal controls testing.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Excellent communication, coaching, and stakeholder management skills across business and engineering units.</span></li>
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<p><span style="font-size: 10pt;"><strong>Why Ebury?</strong></span></p>
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<li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Competitive Starting Salary</strong> with an <strong>annual discretionary bonus</strong><strong> </strong>that truly rewards your performance from day one.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Dedicated Mentorship: </strong>Learn directly from experienced managers who are invested in your success.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Cutting-Edge Technology: </strong>Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Clear, Accelerated Career Progression: </strong>Defined pathways to leadership and specialist roles within Ebury.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Dynamic & Supportive Culture: </strong>Work in a collaborative environ
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