Manager, In-Business Controls (AI)

About the Role: Grade Level (for internal use): 11Role: Manager, In-Business Control, AI & Digital About the Role/The Team:  The In-Business Control (IBC) team plays a crucial role in shaping the strategic approach to operational risk management and the control framework. As a key part of the broader IBC group, we are committed to overseeing business controls and risks within the first line for the S&P Global Energy division. This position emphasizes AI and digital functions across all business lines within the division. Our integrated operating model promotes close collaboration with the Operating Committee (OpCo) and fosters strong partnerships with Legal, Risk, and Compliance teams, ensuring comprehensive risk coverage and representation. The AI Risk Manager, based in the In-Business Controls (IBC) team, will help shape how we deploy AI safely, ethically and at pace across the division. You’ll sit in the first line, partnering closely with IT, Legal, Compliance and 2nd Line Risk, to design fit‑for‑purpose controls and SOPs, build dynamic monitoring to spot issues early, and lead incident readiness for AI systems and algorithms. There will be hands‑on problem solving as well as exposure to senior stakeholders, and the chance to influence how AI supports our business strategy. It involves turning complex risks into clear, practical controls, promoting cross-functional collaboration, and creating opportunities to help the business adapt to changing regulations and standards. This is a high‑impact opportunity to shape CI’s AI control framework and grow your career at scale. By joining our team, you will be part of a dynamic and forward-thinking group that values diverse perspectives and encourages collaboration. You will have the opportunity to work alongside industry leaders, contribute to strategic initiatives, and enhance your skills in a supportive environment focused on innovation and operational excellence. Key Responsibilities: Risk Assessment: Identify and evaluate potential risks associated with AI technologies and their applications within the organization. Standard Operating Procedure (SOP) Development: Review and develop existing SOPs to mitigate identified risks, ensuring compliance with in-house requirements and industry standards. Collaboration: Working closely with IT, legal, and compliance teams to ensure that AI initiatives align with organizational risk management frameworks, as well as working collaboratively with 2nd line risk, commercial, and corporate teams. Monitoring and Reporting: Establish a dynamic monitoring system to proactively identify and address control deficiencies, ensuring timely follow-up and resolution to sustain compliance and operational integrity, as well as ensuring adherence to policies. Incident Management: In conjunction with 2nd line risk, Develop and execute response plans for potential incidents related to AI systems, including data breaches or algorithmic failures.