Director, Collection Platforms and AI

• Enterprise Data Organization s objective is to drive growth across S&P divisions, enhance speed and productivity in our operations, and prepare our data estate for the future, benefiting our customers.
• Therefore, automation represents a massive opportunity to improve quality and efficiency, to expand into new markets and products, and to create customer and shareholder value. Agentic automation is the next frontier in intelligent process evolution, combining AI agents, orchestration layers, and cloud-native infrastructure to enable autonomous decision-making and task execution. To leverage the advancements in automation tools, it s imperative to not only invest in the technologies but also democratize them, build literacy, and empower the work force. The Collection Platforms and AI
• teams mission is to drive this automation strategy across S&P Global and help create a truly digital workplace. We are responsible for creating, planning, and delivering transformational projects for the company using state of the art technologies and data science methods, developed either in house or in partnership with vendors. We are transforming the way we are collecting the essential intelligence our customers need to do decision with conviction, delivering it faster and at scale while maintaining the highest quality standards.

• A visionary technical leader with knowledge of designing agentic pipelines and deploying AI applications in production environments.
• Understanding of cloud infrastructure (AWS/Azure/GCP), orchestration tools (eg, Airflow, Kubeflow), and agentic frameworks (eg, LangChain, AutoGen).
• Proven ability to translate business workflows into automation solutions, with emphasis on financial/data services use cases.
• An independent proactive person who is innovative, adaptable, creative, and detailed-oriented with high energy and a positive attitude.
• Exceptional skills in listening to clients, articulating ideas, and complex information in a clear and concise manner.
• Proven record of creating and maintaining strong relationships with senior members of client organizations, addressing their needs, and maintaining a high level of client satisfaction.
• Ability to understand what the right solution is for all type of problems, understanding and identifying the ultimate value of each project.
• Operationalize this technology across S&P Global, delivering scalable solutions that enhance efficiency, reduce latency, and unlock new capabilities for internal and external clients.
• Exceptional communication skills with experience presenting to C-level executives

• Engage with the multiple client areas (external and internal) and truly understand their problem and then deliver and support solutions that fit their needs.
• Understand the existing S&P Global product to leverage existing products as necessary to deliver a seamless end to end solution to the client.
• Evangelize agentic capabilities through workshops, demos, and executive briefings.
• Educate and spread awareness within the external client-base about automation capabilities to increase usage and idea generation.
• Increase automation adoption by focusing on distinct users and distinct processes.
• Deliver exceptional communication to multiple layers of management for the client.
• Provide automation training, coaching, and assistance specific to a user s role. Demonstrate strong working knowledge of automation features to meet evolving client needs.
• Extensive knowledge and literacy of the suite of products and services offered through ongoing enhancements, and new offerings and how they fulfill customer needs.
• Establish monitoring frameworks for agent performance, drift detection, and self-healing mechanisms.
• Develop governance models for ethical AI agent deployment and compliance.

• 12+ years work experience with 5+ years in the Automation/AI space

Knowledge of:

• Cloud platforms (AWS SageMaker, Azure ML; etc)
• Orchestration tools (Prefect, Airflow; etc)
• Agentic toolkits (LangChain, LlamaIndex, AutoGen)

• Experience in productionizing AI applications.
• Strong programming skills in python and common AI frameworks
• Experience with multi-modal LLMs and integrating vision and text for autonomous agents.
• Excellent written and oral communication in English
• Excellent presentation skills with a high degree of comfort speaking with senior executives, IT Management, and developers.
• Hands-on ability to build quick prototype/visuals to assist with high level product concepts and capabilities.
• Experience in deployment and management of applications utilizing cloud-based infrastructure.
• A desire to work in a fast-paced and challenging work environment
• Ability to work in a cross functional, multi geographic teams