Company Overview
With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on.

At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all.
Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you.

About the Team:
The Governance, Risk and Compliance (GRC) team enables the business in proactive identification, evaluation, mitigation, monitoring, and escalation of organizational risks. UKG evaluates risk holistic to the organization; including strategic, financial, compliance, cybersecurity, and operational risk. This position is part of a subset of the GRC team which leads AI risk management efforts. As a member of that team, the individual will be committed to overall management of risks related to AI systems and technologies and its role in the company's continued success. The Senior Cyber Risk Analyst position is a highly visible role that interfaces with key stakeholders in the organization and may also support UKG customers and Partners. The position demands an organized, action-oriented team player with the ability to prioritize daily work and support multiple initiatives simultaneously; effective communication and customer focus is required. Primary responsibilities include performing risk assessments of UKG AI systems and technologies impact UKG products and internal environments to determine potential risk factors, quantifying risk and forecast probable outcomes, partnering with risk owners to determine mitigation activities, preparing reports to stakeholders to summarize their risk landscape and highlight attention areas, and staying attune to the organizations goals as processes/technologies evolve.

About the Role:
• Lead the development, implementation, and continuous improvement of the AI risk management program.
• Support the overall AI governance program by integrating risk management practices into AI development and deployment processes, promote AI risk management, share best practices and provide independent perspective on initiatives and issues related to AI applications.
• Conduct thorough risk assessments of existing and planned AI implementations within UKG’s products and corporate environment, identifying potential risks and developing mitigation strategies.
• Establish and maintain a continuous monitoring program for risks related to AI systems.
• Conduct regular audits of critical AI systems to ensure alignment with organization risk tolerances.
• Contribute to the development and enhancement of the AI risk management framework, ensuring it aligns with industry standards and regulatory requirements.
• Develop dashboards and reporting to track risks and issues related to AI systems, and present findings on a regular cadence to senior leadership.
• Cultivate strong relationships with internal stakeholders, including AI developers, data scientists, and business leaders.
• Stay abreast of new trends, emerging risks, frameworks, and regulatory changes in the AI space.
• Conduct research and analysis to identify potential impacts on the organization’s AI initiatives.
• Provide training and awareness programs on AI risk management for internal stakeholders.

About you:
Basic Qualifications:
• Bachelor’s degree in Computer Science, Information Technology, Risk Management, or a related field. Advanced degree preferred.
• Minimum of 5 years of experience in risk management, with at least 2-3 years specifically focused on AI or machine learning projects.
• Knowledge of risk management principles, methodologies, and best practices as they apply to AI.
• Familiarity & experience with AI governance frameworks, best practices, AI ethics, and responsible AI principles.
• Proven track record of conducting risk assessments and developing risk management frameworks for AI systems.
• Excellent problem-solving abilities, with a focus on developing practical and effective risk mitigation strategies.
• Exceptional communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.
• Strong interpersonal skills, with the ability to build and maintain relationships with diverse internal and external stakeholders.