Director, Autonomous AI and Analytics

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S&P Global

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Finance • Enterprise • Artificial Intelligence

S&P Global is a leading provider of market intelligence, ratings, analytics, and benchmark indices. The company offers comprehensive insights across various domains including finance, commodities, mobility, and sustainability. Renowned for its data-driven solutions, S&P Global assists organizations in navigating complex market trends, evaluating credit risk, and understanding the implications of artificial intelligence and energy transitions. Its diverse offerings, such as S&P Global Market Intelligence, S&P Global Ratings, and S&P Dow Jones Indices, provide critical data and analytics to businesses, government entities, and investors worldwide.

10,000+ employees

Founded 1860

💸 Finance

🏢 Enterprise

🤖 Artificial Intelligence

📋 Description

• Apply advanced analytical, AI, domain expertise, and engineering skills to transform vast datasets and workflows into tangible business value. • Lead enterprise-wide adoption of AI-driven analytics and autonomous agent systems, transforming decision-making processes across the Energy division while establishing the technical foundation for scalable, self-improving analytical workflows that adapt to changing market conditions. • Architect and deploy sophisticated agentic systems that seamlessly integrate multi-modal data sources, real-time market signals, and advanced modelling outputs to deliver continuous, self-updating insights at enterprise scale. • Drive strategic alignment of autonomous workflow programs with commercial strategy and product roadmaps, ensuring automated insights directly support revenue growth, operational efficiency, and competitive advantage while maintaining clear ROI metrics and business value demonstration. • Establish comprehensive technical governance frameworks for autonomous systems, including robust auditability mechanisms and regulatory compliance protocols. • Scope, design, and deliver complex end-to-end autonomous analytics initiatives from initial exploration through production deployment, with measurable business impact including significant cycle-time reduction, enhanced decision quality, and operational cost optimization across multiple business units. • Collaborate extensively with cross-functional teams, external technology partners, and academic institutions to advance cutting-edge capabilities in real-time data integration, knowledge-graph enrichment, autonomous agent design, and emerging AI technologies that position the organization as an industry leader.

🎯 Requirements

• Advanced degree in Computer Science, Engineering, or related technical field, with 8+ years of progressive experience leading AI/ML architecture and strategy in enterprise environments, including 3+ years in senior technical leadership roles. • Proven expertise in designing and implementing enterprise-scale AI/ML architectures using cloud platforms such as AWS, Azure, or Google Cloud Platform, with deep understanding of distributed systems, microservices, and scalable data infrastructure design patterns. • Strong technical leadership experience managing cross-functional engineering teams and driving architectural decisions for complex AI systems, with demonstrated ability to mentor senior developers and establish technical standards across multiple projects. • Extensive experience architecting data ecosystems and analytics platforms using technologies such as Snowflake, Databricks, or similar enterprise data platforms, with a focus on system integration, performance optimization, and enterprise security frameworks. • Demonstrated success in translating business strategy into technical roadmaps and leading large-scale digital transformation initiatives, with proven ability to collaborate with C-level executives and drive consensus across multiple stakeholder groups. • Strong foundation in programming languages such as Python, Java, or Scala, with hands-on experience in AI/ML frameworks like TensorFlow or PyTorch to effectively guide technical teams and validate architectural approaches.

🏖️ Benefits

• Health & Wellness: Health care coverage designed for the mind and body. • Flexible Downtime: Generous time off helps keep you energized for your time on. • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.