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**About the Role**:
**Grade Level (for internal use)**: 11
**Role**: 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.
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**:
**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.
**Stakeholder Engagement**: Build and maintain strategic relationships with key stakeholders and senior management in the business to ensure alignment of control strategies with business objectives and broader business goals.
**Innovation**: Champion innovative approaches in control processes, leveraging technology and best practices to enhance efficiency, effectiveness, and adaptability to changing S&P; strategy.
**Continuous Improvement**: Regularly reviewing and updating risk management strategies and controls based on emerging trends, technologies, and regulatory changes.
**What We’re Looking For**:
**Basic Qualifications**:
Masters or MBA.
At least 3 years of experience in a risk, compliance, or control-oriented function with exposure to technology infrastructure.
Knowledge of AI and machine learning concepts, including familiarity with algorithms, data handling, and ethical implications.
Strong ability to simplify processes, identify risks, and drive automation and operational efficiency
Exceptional analytical skills, with the ability to interpret complex data and provide actionable insights.
Excellent verbal and written communication skills, demonstrating stakeholder management and influencing skills, with the ability to engage senior leaders.




Ability to work effectively in a global fast-paced environment, appreciating diverse perspectives and cultural differences.
**Preferred Qualifications**:
Master's degree in a relevant field, such as Business Administration, Cybersecurity, or AI-related disciplines.
Professional certification in Operational Risk Management such as the PRMIA Operational Risk Management (ORM) Certificate or ISO 31000.
GARP RAI (Risk and AI) Certificate.
In-depth understanding of regulatory frameworks and standards related to AI, such as GDPR, ISO standards, and industry best practices.
Experience with project management methodologies and tools, particularly in overseeing AI-related projects.
Familiarity with data analytics tools and risk management software, as well as programming languages relevant to AI (e.g., Python, R, C++) and/or other programming languages such as VBA, SQL.
Knowledge of governance frameworks that pertain to AI ethics, bias mitigation, and accountability.
Understanding of Data IP business or industries.
About S&P; Global Commodity Insights
At S&P; General Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P; Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P; Global Commodity Insights is a division of S&P; Global (NYSE: SPGI). S&P; Global is the world’s foremost provider of credit ratings, benchmarks, anal

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📌 Manager, In-business Controls (Buenos Aires)
🏢 S&P Global
📍 Buenos Aires