Executive Director -Data Science at S&P Global

Gurugram, Haryana, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, TechnologyIndustries

Requirements

Enterprise Data Science Strategy: Ability to define and drive a global data science vision, embedding agentic AI and semantic models into platforms
Semantic Data Mesh & Ontologies: Deep expertise in semantic data mesh, ontologies (FIBO, ISDA CDM, ISO20022), and multi-agent frameworks
Knowledge Graphs & Semantic Stack: Proficiency in RDF, OWL, SPARQL, SHACL, and experience with knowledge graph databases (Neptune, Stardog, GraphDB)
AI/ML & NLP: Strong background in ML/NLP (transformers, embeddings, supervised/unsupervised learning), with hands-on skills in PyTorch, TensorFlow, scikit-learn
MLOps: Experience building and maintaining MLOps pipelines (MLflow, Kubeflow, SageMaker) for training, deployment, monitoring, and ensuring fairness/bias controls
Financial Data & Standards: Familiarity with capital markets datasets and financial standards
Explainability & XAI: Knowledge of explainable AI (SHAP, LIME, counterfactuals) and ontology-driven traceability
Business Problem Solving: Applying ML to business problems (adverse media, anomaly detection, regulatory reporting QA)
Good knowledge of system architecture, object-oriented design, and design patterns
Modern Platform Architecture: Experience designing and evolving cloud-native, modular, and federated architectures for scale, resilience, and agility
Agentic AI Systems: Ability to design and implement agentic AI systems (CrewAI, Autogen, LangGraph, MCP servers) and multi-agent orchestration for workflows (reconciliations, KYC, regulatory)

Responsibilities

Complete SDLC: architecture, design, development, and support of the product
Active participation in all scrum ceremonies, following AGILE best practices effectively
Play a key role in the development team to build high-quality, high-performance, scalable code
Produce technical design documents and conduct technical walkthroughs
Work collaboratively with business partners to understand and clarify requirements
Collaborate effectively with technical and non-technical stakeholders
Respond to and resolve internal and client raised issues
Build, develop, and guide high-performing talent to guide their growth path
Create and maintain a professional culture within the team, where individuals take ownership and focus on delivering excellence, quality and value for the customer and business
Customer Focus:
Build positive and productive working relationships with customers by delivering client priorities with high quality to enable business growth
Serve as primary contact for customer inquiries and concerns
Analyze customer requests, set delivery priorities, and make schedule adjustments to meet timely delivery goals
Attend Project calls (Internal and with Client) as required

Skills

Key technologies and capabilities for this role

Data ScienceSoftware DevelopmentFull StackSDLCArchitectureDesignAgileScrumDevOpsCloud Technologies

Questions & Answers

Common questions about this position

What are the core skills required for this Executive Director - Data Science role?

Core skills include enterprise data science strategy with agentic AI and semantic models, deep expertise in semantic data mesh and ontologies like FIBO and ISDA CDM, proficiency in knowledge graphs using RDF, OWL, SPARQL, SHACL, and databases like Neptune, plus strong background in AI/ML and NLP with transformers and embeddings.

What opportunities for growth and development does this role offer?

The role provides chances to mentor a skilled team, work on cutting-edge technologies like DevOps and cloud at scale, build and guide high-performing talent, and expand experience with modern technologies while shaping product futures.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this role remote or does it require office presence?

This information is not specified in the job description.

What does the team culture look like at S&P Global for this role?

The culture emphasizes creating and maintaining a professional environment where individuals take ownership, focus on delivering excellence, quality, and value for customers and business, while building positive relationships with stakeholders.

S&P Global

Provides financial information and analytics services

About S&P Global

S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.

New York City, New YorkHeadquarters

1917Year Founded

IPOCompany Stage

Data & Analytics, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Professional Development Budget

401(k) Company Match

Family Planning Benefits

Employee Discounts

Risks

Integration challenges with new acquisitions like ProntoNLP may cause operational issues.

Increased competition from AI-driven platforms like Brooklyn Investment Group.

Dependence on volatile credit ratings market could impact revenue stability.

Differentiation

S&P Global integrates advanced AI tools for superior financial analytics capabilities.

The company offers comprehensive ESG solutions, meeting growing sustainability demands.

S&P Global's diverse divisions provide a wide range of financial services globally.

Upsides

Acquisition of ProntoNLP boosts data analytics and sentiment scoring capabilities.

Rising demand for ESG data enhances S&P Global's market position.

Expansion into India strengthens S&P Global's research and insights offerings.

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