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Sr. Manager, AI Audit & Automation

Job in Jacksonville, Duval County, Florida, 32290, USA
Listing for: Fanatics
Full Time position
Listed on 2026-05-15
Job specializations:
  • IT/Tech
    AI Engineer, Data Engineer, IT Consultant, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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 Sports book 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. It is measured by what is created, what is adopted, and what is auditable rather than 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 and overseeing 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…
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