Internal Audit Data Science & Analytics Lead
CloudflareHybridPosted 24 February 2026
Job Description
<div class="content-intro"><div><strong>About Us</strong></div>
<div>
<p>At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. </p>
<p><span style="font-weight: 400;">We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! </span></p>
</div></div><p><strong>Available Location: Bengaluru, India</strong></p>
<p><strong>About the role</strong></p>
<p>The Internal Audit (IA) organization is responsible for delivering high-quality objective and independent assurance over the Company’s key business risks to the Audit Committee and Management in a cost effective way and consistent with Professional Standards. Reflecting the Company’s core value of continuous improvement, the function is in the process of moving toward wider coverage of operational risks, exploring more efficient audit approaches and industry best practices where appropriate. Our mission is to drive meaningful change in the control environment and risk management capabilities by delivering impactful and solution-oriented engagement and partnership.</p>
<p>The Internal Audit Data Science Analytics Lead will be a critical role in building our global data analytics, automation and continuous auditing strategy and program. Reporting directly to our Chief Audit Executive, this leader will identify and implement advanced audit capabilities using data, programming and other available toolsets. This role will be highly collaborative with leaders both within Internal Audit and across the business to develop and deliver data-driven audit and risk management solutions. This leader will have the energy and intellectual curiosity to continue to deepen technical capabilities and broaden subject matter expertise, asserting their mission in delivering data-driven, advance audit capabilities to the core of our team across all areas of audit, compliance and risk management.</p>
<h4><strong>What you'll do</strong></h4>
<ul>
<li>Applying a data-driven mindset, continue the build of our Internal Audit Data Solutions program that will deliver advanced audit capabilities including automation, continuous auditing and data analytics </li>
<li>Develop and implement AI-driven solutions using available tools, supporting our audit teams and audit operations</li>
<li>As a data champion, will elevate awareness within the IA team on the appropriate and possible uses of data in performing our assurance and advisory work</li>
<li>Lead and oversee data analytics initiatives within Internal Audit, leveraging advanced analytical techniques to enhance audit procedures and identify risks</li>
<li>Design and execute on data-driven testing of key controls throughout in-scope processes, systems and programs, elevating levels of assurance and coverage</li>
<li>Build relationships with key data leaders and owners, enabling timely access to data necessary to perform audit and risk project work</li>
<li>Leverage exi ... (truncated, view full listing at source)
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