Fanatics Inc.

About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. The Role This role engineers the AI-enabled future of Internal Audit. The Sr. Manager, AI Audit & Automation designs, builds, and deploys production-grade AI and automation solutions that transform how audit work is planned, executed, and evidenced. The role combines hands-on AI engineering with deep integration into audit workflows, governance standards, and regulatory requirements. This is a building role. This role is measured by what is created, what is adopted, and what is auditable not by hours logged or meetings attended. The successful candidate builds working systems, trains audit teams on the tools being built, and continuously improves the production environment based on real engagement feedback. Results are measured in deployed tools, adopted workflows, and documented audit efficiency gains. The position reports to the Director, Technology Assurance, and partners closely with IT, Information Security, and the CAE to deliver audit-specific AI capabilities at enterprise scale. What You'll Do Partner with audit teams to define high-impact AI use cases, translating audit objectives into scalable technical solutions owing design and deployment end to end. Lead the build and rollout of AI-powered applications and automation frameworks across audit workflows, ensuring alignment with enterprise AI governance and applicable regulatory requirements. Own end-to-end technical delivery of the SOX ITGC Self-Assess Agents and similar AI workflows from prototype through development, UAT, and production environments in partnership with IT. Manage Claude API and enterprise LLM integrations — prompt engineering, structured output design, error handling, and performance optimization. Build and maintain data pipelines connecting audit systems to AI workflows, including Active Directory, access management platforms, ERP data, and audit management tools. Design and execute full population audit testing using Alteryx, Python, or SQL — replacing sample-based testing where data access permits. Develop continuous monitoring scripts that flag control exceptions in real time rather than at periodic testing intervals. Establish performance metrics and continuously optimize deployed solutions to produce measurable, auditable improvements in audit efficiency and control evaluation quality. Produce and maintain comprehensive technical documentation: model artifacts, system architecture diagrams, validation protocols, and data lineage records that satisfy both internal audit standards and external scrutiny. Drive adoption within Internal Audit by designing user-centric implementations, translating technical concepts for non-technical audiences, and delivering hands-on training to ensure durable workflow integration. Evaluate emerging AI, machine learning, and LLM technologies on an ongoing basis to assess applicability and scalability within Internal Audit environments. Serve as the technical lead for audit management system integration, overseeing scalable connectivity of AI tools, workflow automation, and enterprise platforms. What We're Looking For 4+ years in data science, AI/ML, analytics, or software engineering. Hands-on production deployment of AI/ML solutions. Demonstrated experience building or managing AI agents and automation frameworks. Enterprise LLM tool experience — Claude, ChatGPT, Perplexity, or equivalent — including prompt engineering and structured output design. CI/CD, containerization, or MLOps implementation in an enterprise environment. Cloud platform experience in AWS, Azure, or GCP. Experience with large-scale data platforms such as Snowflake. Python and SQL proficiency. Functional HTML, CSS, and JavaScript for frontend development and dashboarding. REST API integration — consuming and orchestrating external APIs. Git — version control, branching, pull requests, and code review. Working knowledge of model governance, validation, and responsible AI practices. Understanding of AI ethics principles and applicable data privacy regulations (GDPR, CCPA, and equivalent). Ability to translate complex technical concepts into audit-relevant findings and stakeholder communications. Audit and domain knowledge Working knowledge of SOX IT General Controls Understanding of evidence sufficiency standards and workpaper documentation requirements. Familiarity with PCAOB AS 2605 or equivalent assurance standards. Experience deploying automation or analytics tools within an audit, risk, or compliance function. Ability to translate audit requirements into technical specifications independently. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related field is required. Advanced degree (MS or PhD) in Machine Learning, Statistics, or Computer Science is a plus. Preferred Experience Internal Audit, Risk, Compliance, or Financial Services experience. Familiarity with audit management systems or GRC platforms. Experience integrating AI tools with enterprise systems and platforms. Big 4 or advisory firm experience in audit technology practice. Digital commerce, e-commerce, or sports and entertainment industry background. Experience in a PE-backed or high-growth technology company environment. Preferred Credentials CISA, AAIA, CRISC, CISSP AWS, Azure, or GCP Machine Learning Specialty, or data science certifications. What We Offer Direct ownership of a high-visibility AI program with executive sponsorship and an existing foundation of production tools to build upon. Partnership with an engaged Director who has built the technical architecture and is looking for a builder, not a dependent. Collaboration with the CAE, VP Internal Audit, Sr. Director Organizational Change Management, CISOs, CTOs, CDOs, IT, Information Security, and business stakeholders across Fanatics. Competitive base salary, performance bonus, and benefits. The opportunity to shape how Internal Audit is delivered at one of the most recognized brands in sports and digital commerce. The salary range represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $129,000—$175,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.

About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. The Role This role engineers the AI-enabled future of Internal Audit. The Sr. Manager, AI Audit & Automation designs, builds, and deploys production-grade AI and automation solutions that transform how audit work is planned, executed, and evidenced. The role combines hands-on AI engineering with deep integration into audit workflows, governance standards, and regulatory requirements. This is a building role. This role is measured by what is created, what is adopted, and what is auditable not by hours logged or meetings attended. The successful candidate builds working systems, trains audit teams on the tools being built, and continuously improves the production environment based on real engagement feedback. Results are measured in deployed tools, adopted workflows, and documented audit efficiency gains. The position reports to the Director, Technology Assurance, and partners closely with IT, Information Security, and the CAE to deliver audit-specific AI capabilities at enterprise scale. What You'll Do Partner with audit teams to define high-impact AI use cases, translating audit objectives into scalable technical solutions owing design and deployment end to end. Lead the build and rollout of AI-powered applications and automation frameworks across audit workflows, ensuring alignment with enterprise AI governance and applicable regulatory requirements. Own end-to-end technical delivery of the SOX ITGC Self-Assess Agents and similar AI workflows from prototype through development, UAT, and production environments in partnership with IT. Manage Claude API and enterprise LLM integrations — prompt engineering, structured output design, error handling, and performance optimization. Build and maintain data pipelines connecting audit systems to AI workflows, including Active Directory, access management platforms, ERP data, and audit management tools. Design and execute full population audit testing using Alteryx, Python, or SQL — replacing sample-based testing where data access permits. Develop continuous monitoring scripts that flag control exceptions in real time rather than at periodic testing intervals. Establish performance metrics and continuously optimize deployed solutions to produce measurable, auditable improvements in audit efficiency and control evaluation quality. Produce and maintain comprehensive technical documentation: model artifacts, system architecture diagrams, validation protocols, and data lineage records that satisfy both internal audit standards and external scrutiny. Drive adoption within Internal Audit by designing user-centric implementations, translating technical concepts for non-technical audiences, and delivering hands-on training to ensure durable workflow integration. Evaluate emerging AI, machine learning, and LLM technologies on an ongoing basis to assess applicability and scalability within Internal Audit environments. Serve as the technical lead for audit management system integration, overseeing scalable connectivity of AI tools, workflow automation, and enterprise platforms. What We're Looking For 4+ years in data science, AI/ML, analytics, or software engineering. Hands-on production deployment of AI/ML solutions. Demonstrated experience building or managing AI agents and automation frameworks. Enterprise LLM tool experience — Claude, ChatGPT, Perplexity, or equivalent — including prompt engineering and structured output design. CI/CD, containerization, or MLOps implementation in an enterprise environment. Cloud platform experience in AWS, Azure, or GCP. Experience with large-scale data platforms such as Snowflake. Python and SQL proficiency. Functional HTML, CSS, and JavaScript for frontend development and dashboarding. REST API integration — consuming and orchestrating external APIs. Git — version control, branching, pull requests, and code review. Working knowledge of model governance, validation, and responsible AI practices. Understanding of AI ethics principles and applicable data privacy regulations (GDPR, CCPA, and equivalent). Ability to translate complex technical concepts into audit-relevant findings and stakeholder communications. Audit and domain knowledge Working knowledge of SOX IT General Controls Understanding of evidence sufficiency standards and workpaper documentation requirements. Familiarity with PCAOB AS 2605 or equivalent assurance standards. Experience deploying automation or analytics tools within an audit, risk, or compliance function. Ability to translate audit requirements into technical specifications independently. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related field is required. Advanced degree (MS or PhD) in Machine Learning, Statistics, or Computer Science is a plus. Preferred Experience Internal Audit, Risk, Compliance, or Financial Services experience. Familiarity with audit management systems or GRC platforms. Experience integrating AI tools with enterprise systems and platforms. Big 4 or advisory firm experience in audit technology practice. Digital commerce, e-commerce, or sports and entertainment industry background. Experience in a PE-backed or high-growth technology company environment. Preferred Credentials CISA, AAIA, CRISC, CISSP AWS, Azure, or GCP Machine Learning Specialty, or data science certifications. What We Offer Direct ownership of a high-visibility AI program with executive sponsorship and an existing foundation of production tools to build upon. Partnership with an engaged Director who has built the technical architecture and is looking for a builder, not a dependent. Collaboration with the CAE, VP Internal Audit, Sr. Director Organizational Change Management, CISOs, CTOs, CDOs, IT, Information Security, and business stakeholders across Fanatics. Competitive base salary, performance bonus, and benefits. The opportunity to shape how Internal Audit is delivered at one of the most recognized brands in sports and digital commerce. The salary range represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $129,000—$175,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.