About the Role:

The Team:

The Director of Autonomous AI & Analytics Orchestrationis responsible forarchitecting and operationalizing the next generation of intelligent autonomous agents across the organization. This role integrates multi-modal data real-time market signals and advanced modeling outputs to deliver continuous self-updating insights that scale decision quality and operational efficiency. The Director provides both strategic and technical leadership ensuring autonomous workflows become a core capability embedded across commercial analytical and operational functions.

Responsibilities and Impact:

AsDirector of Autonomous AI & Analyticsat S&P Global you will apply your advanced analytical AI domainexpertiseand engineering skills to transform our vast datasetsand workflowsintotangible business value. You will be instrumental in the deployment of machine learning and generative AI solutionscollaboratingwith product development and communicating your findings to drive business decisions and serve external clients.

• Lead enterprise-wide adoption of AI-driven analytics and autonomous agent systems transforming decision-making processes acrosstheEnergy division whileestablishingthe 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 advancedmodellingoutputs to deliver continuous self-updating insights at enterprise scale enabling proactive rather than reactive business strategies

• 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 whilemaintainingclear ROI metrics and business value demonstration

• Establish comprehensive technical governance frameworks for autonomous systems including robust auditability mechanisms regulatory compliance protocols security standards and ethical AI practices that meet both corporate requirements and evolving industry regulations

• Scope design and deliver complex end-to-end autonomous analytics initiatives frominitialexploration 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 advancecutting-edgecapabilities in real-time data integration knowledge-graph enrichment autonomous agent design and emerging AI technologies that position the organization as an industry leader

WhatWereLookingFor:

Basic Required Qualifications:

• 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

• Provenexpertisein 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 withdemonstratedability to mentor senior developers andestablishtechnical 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 foundationin programming languages such as Python Java or Scala with hands-on experience in AI/ML frameworks like TensorFlow orPyTorchto effectively guide technical teams andvalidatearchitectural approaches

Additional Preferred Qualifications:

• Experience leading AI governance frameworks and establishingMLOpspractices across enterprise organizations including model lifecycle management compliance protocols and risk assessment methodologies

• Track recordof driving innovation through emerging technologies such as generative AI large language models or advanced analytics platforms with experience evaluating and implementingcutting-edgesolutions in production environments

• Strong background in financial services technology architecture with understanding of regulatory requirements data privacy frameworks and industry-specific AI applications in areas such as risk management or market analysis

• Demonstratedexpertisein building strategic technology partnerships and vendor relationships with experience in contract negotiation technology evaluation and managing complex multi-vendor AI solution implementations

Right to Work Requirements:

This role is limited to persons with an indefinite right to work in the United Statesand or Canada.