About the role

Data Engineer building and implementing AI-driven audit capabilities for Cloudflare's Internal Audit team. Collaborating with global teams to enhance data analytics and automation strategies.

Responsibilities

Applying an AI and data-driven mindset, serve on our growing Risk & Controls Engineering program that will deliver advanced audit capabilities including automation, continuous auditing and data analytics
Develop and implement AI-driven solutions using available tools, supporting our audit teams and audit operations
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
Drive data science/analytics initiatives within Internal Audit, leveraging advanced analytical techniques to enhance audit procedures and identify risks
Design and execute on data-driven testing of key controls throughout in-scope processes, systems and programs, elevating levels of assurance and coverage
Build relationships with key data leaders and owners, enabling timely access to data necessary to perform audit and risk project work
Leverage existing data points and structures to provide a more quantitative measure to key control and risk considerations and conclusions
Develop our continuous auditing program and architect solutions that can deliver control and business insight on a more real-time basis, driving action for improvement in targeted areas
Drive automation across audit, SOX and risk projects, unlocking efficiencies in our testing
Evaluate and recommend data tools, technologies and methodologies to enhance our audit capabilities and stay abreast of industry trends

6 + years of experience in applying data analytics techniques (i.e. including automation, data-driven control testing) and the use of AI within internal audit and enterprise risk projects
Bachelor’s Degree or equivalent in Computer Science, Data Science, or Management Information Systems
Proven track record in delivering audit solutions through application of data analytics, scripting and programming skills (Python, R, SQL) as well as any relevant tools
Appropriate certifications/trainings relevant to Internal Audit (i.e. CPA, CISA, CIA, CISSP) and/or data tools (i.e. AWS Certified Data Analyst, Google Cloud Certified, etc.)
Strong experience in working through the full data analytics lifecycle from data acquisition to cleansing to scripting/programming to analysis to reporting
Experience in working with visualization tools (i.e. Tableau) to aid in reporting and presenting observations at a thematic level to executives and program leaders
Experience in building continuous audit capabilities and dashboards that will provide reliable and timely performance metrics on focused control points at the right level of detail allowing for management actions and measurement.