Director, Collection Platforms and AI

Security and Intelligence Services

India

On-site

INR 1,500,000 - 2,100,000

Full time

14 days+

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Job summary

S&P Global is seeking a Director to lead the design, development, and scaling of AI-driven agentic pipelines within the Enterprise Data Organization. You will architect end-to-end automation solutions using cloud infrastructure, orchestration tools, and agentic frameworks while engaging with senior client stakeholders and driving adoption at scale.

The role requires strategic leadership and deep knowledge of deploying AI applications in production, with emphasis on translating complex

Qualifications

  • Experience leading AI-driven automation initiatives.
  • Ability to translate business workflows into automation solutions.
  • Strong client-facing experience with senior stakeholders and executives.
  • Knowledge of cloud platforms (AWS/Azure/GCP).

Responsibilities

  • Engage with multiple client areas to understand problems and deliver end-to-end solutions.
  • Translate client needs into scalable automation offerings leveraging agentic pipelines.
  • Evangelize automation capabilities through workshops and executive briefings.
  • Educate external clients about automation capabilities to drive adoption and ideas.
  • Maintain strong relationships with senior client stakeholders to ensure satisfaction.
  • Monitor performance, governance, and updating of automation solutions.

Skills

Leadership
Automation architecture
Cloud infrastructure
Orchestration tools
Agentic frameworks
Stakeholder management
Executive communication

Tools

Airflow
Kubeflow
LangChain
AutoGen

Job description

As a director, you will be essential to drive customer satisfaction by delivering tangible business results to the customers. You will be working for the Enterprise Data Organization and will be an advocate and problem solver for the customers in your portfolio as part of the Collection Platforms and AI team. You will be using communication and problem-solving skills to support the customer on their automation journey with emerging automation tools to build and deliver end to end automation solutions for them.

Team - 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 AIteams 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.

What we re looking for

You will lead the design, development, and scaling of AI-driven agentic pipelines to transform workflows across S&P Global. This role requires a strategic leader who can architect end-to-end automation solutions using agentic frameworks, cloud infrastructure, and orchestration tools while managing senior stakeholders and driving adoption at scale. 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.

Responsibilities

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 governanc

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