Director, Autonomous AI and Analytics

Director, Autonomous AI and Analytics The Director of Autonomous AI & Analytics Orchestration is responsible for architecting 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. About The Role Grade Level: 13 Responsibilities: Lead enterprise‑wide adoption of AI‑driven analytics and autonomous agent systems, transforming decision‑making processes across the Energy division. 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. Establish comprehensive technical governance frameworks for autonomous systems, including auditability, regulatory compliance, security standards and ethical AI practices. Scope, design and deliver complex end‑to‑end autonomous analytics initiatives from exploration through production deployment. Collaborate extensively with cross‑functional teams, external technology partners and academic institutions to advance cutting‑edge capabilities. Qualifications Basic Required Qualifications: Advanced degree in Computer Science, Engineering or related field, with 8+ years of 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 on cloud platforms (AWS, Azure, GCP), with deep understanding of distributed systems, microservices and scalable data infrastructure. Strong technical leadership experience managing cross‑functional engineering teams and driving architectural decisions for complex AI systems. Extensive experience architecting data ecosystems and analytics platforms (Snowflake, Databricks, etc.). Demonstrated success translating business strategy into technical roadmaps and leading large‑scale digital transformation initiatives. Strong foundation in programming languages such as Python, Java or Scala and hands‑on experience in AI/ML frameworks like TensorFlow or PyTorch. Additional Preferred Qualifications: Experience leading AI governance frameworks and establishing MLOps practices across enterprise organizations. Track record of driving innovation through emerging technologies such as generative AI, large language models or advanced analytics platforms. Strong background in financial services technology architecture with understanding of regulatory requirements and data privacy frameworks. Experience building strategic technology partnerships and vendor relationships. Right To Work Requirements This role is limited to persons with an indefinite right to work in the United States and/or Canada. Location & Details Virtual, Ontario, Canada. Full‑time. Information Technology. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status or any other status protected by law. Only electronic job submissions will be considered for employment. #J-18808-Ljbffr