Job highlights
Qualifications
- The ideal candidate is a strategic and forward-thinking risk professional with experience navigating complex technology environments and evolving regulatory expectations
- This individual should be equally comfortable providing independent risk oversight, influencing executive stakeholders, and helping enable innovation through practical, risk-informed solutions
- 7+ years of work experience in technology risk management, AI governance, data risk, cybersecurity, audit, issue remediation, regulatory compliance, or related governance disciplines within a large enterprise environment
- Strong understanding of AI and data governance concepts, technology risk frameworks, audit and issue management practices, and regulatory expectations related to emerging technologies and responsible AI adoption
- Demonstrated ability to influence senior leadership, lead cross-functional initiatives, navigate ambiguity, and deliver executive-ready communications, reporting, and risk insights in complex and rapidly evolving environments
Responsibilities
- This role will help drive effective governance, enable responsible and trustworthy AI adoption, and support secure, scalable technology innovation across the enterprise
- Lead and support technology risk initiatives across audit and issue management; AI and Data Management risk with emphasis on responsible AI governance; Consumer Technology eXperience (CTX) risk advisory functions and emerging technology risk oversight
- Develop and enhance governance frameworks, risk management methodologies, controls, monitoring, KRIs/KPIs, and executive reporting related to AI systems, data management practices, technology risk, and remediation activities
- Partner with various business units and senior leaders to assess risk and coordinate activities associated with AI adoption, data management and evolving regulatory requirements
- Support risk oversight activities including issue identification, validation, control assessments, model and AI governance reviews, audit readiness, regulatory response, and ongoing monitoring of technology and AI-related risks
- Drive scalable and sustainable risk management capabilities through automation, process improvement, use case development, and implementation of technology solutions



