Lead I Autonomous AI & Analytics Orchestration

S&P Global

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profile Job Location:

Gurgaon - India

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

About the Role:

Grade Level (for internal use):

11

Autonomous AI & Analytics Orchestration

Role Summary

The Lead 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. The Director provides both strategic and technical leadership ensuring autonomous workflows become a core capability embedded across commercial analytical and operational functions.

Responsibilities

Strategic Leadership & Organizational Adoption

  • Champion the enterprise-wide adoption of AI-driven analytics autonomous agents and self-orchestrating workflows showcasing their role in transforming decision-making and operational models.
  • Align autonomous workflow programs with commercial strategy product roadmaps and business priorities to ensure automated insights directly support revenue growth efficiency and customer value.
  • Set a long-term vision and roadmap for autonomous analytics agentic systems and AI-first operational paradigms across the organization.

Agentic System Architecture & Orchestration

  • Architect the integration of structured data unstructured content real-time signals and modeling outputs into cohesive pipelines that feed intelligent autonomous agents.
  • Lead the design and deployment of agentic architectures capable of consuming modeling outcomes dynamic market data and internal knowledge to generate continuous explainable and self-updating insights.
  • Establish standards for agent orchestration including message passing retrieval augmentation workflow state management and agent-to-agent coordination.

Data Engineering Modeling Integration & Real-Time Systems

  • Partner with Data Engineering Modeling Cloud Architecture and Product teams to unify data flows across streaming ingestion model execution layers knowledge graphs and analytics platforms.
  • Ensure seamless integration of:
    • Modeling engines (statistical optimization ML physics-based)
    • Real-time market and operational signals
    • Document stores vector databases and embeddings
    • Event-driven and microservices-based pipelines
  • Drive architecture decisions around latency throughput concurrency and fault tolerance for real-time autonomous systems.

Technical Governance Reliability & Compliance

  • Define and enforce technical standards for agentic systems including auditability lineage tracking reproducibility and controlled execution.
  • Oversee security and compliance frameworks for automated agents ensuring adherence to corporate governance access policies and regulatory requirements.
  • Lead operationalization of autonomous workloads including monitoring A/B testing drift detection and continuous performance validation.

Program Delivery & Scaling

  • Scope autonomous agent projects from exploration to production-grade deployment ensuring clear definition of objectives KPIs architecture resourcing and success metrics.
  • Drive end-to-end delivery of autonomous analytics initiatives ensuring scalable maintainable and resilient implementations.
  • Establish frameworks to measure business impact including cycle-time reduction efficiency gains cost avoidance and decision quality improvements.

Cross-Functional Collaboration & Innovation

  • Collaborate with internal SMEs research teams and external partners to advance capabilities in real-time data integration knowledge-graph enrichment and next-generation autonomous agent design.
  • Identify and prioritize high-impact use cases where agentic systems can replace manual processes enhance insight generation or create new commercial opportunities.
  • Represent the organization in technical forums conferences and external collaborations related to AI autonomous systems and agentic architectures.

Qualifications

Required

  • 10 years of experience in Data Science Machine Learning AI systems or advanced analytics with a track record of leading technical teams.
  • Deep expertise in distributed systems real-time data pipelines and cloud-native architectures (e.g. AWS Databricks Kubernetes event-driven architectures).
  • Demonstrated experience architecting and deploying AI/ML systems including model orchestration inference pipelines and autonomous or semi-autonomous workflows.
  • Strong understanding of RAG pipelines LLM-based agentic systems vector databases embeddings and multi-agent frameworks.
  • Experience leading large-scale cross-functional programs with measurable business impact.
  • Proven ability to communicate complex technical concepts to senior executives and non-technical stakeholders.

Preferred

  • Background in optimization time-series modeling or domain-specific modeling frameworks.
  • Experience with knowledge-graph technologies and semantic search systems.
  • Familiarity with reinforcement learning decision automation engines or multi-agent ecosystems.
  • Prior leadership experience in energy financial services or other data-intensive industries.

Why This Role Matters

The Lead of Autonomous AI & Analytics Orchestration lays the foundation for the organizations transition toward intelligent self-operating analytical systems. This role will define how data models and AI agents interact to drive the next generation of product innovation operational scalability and market differentiation.

About S&P Global Energy
At S&P Global Energy our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration.

S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses governments and individuals with trusted data expertise and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks data and insights that customers need in order to plan confidently act decisively and thrive economically in a rapidly changing global landscape. Learn more at In It For You

Our Mission:

Advancing Essential Intelligence.

Our People:

Were more than 35000 strong worldwideso were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. Were committed to a more equitable future and to helping our customers find new sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity Discovery Partnership


Throughout our history the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do bring a spirit of discovery to our work and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global.

Our benefits include:

  • Health & Wellness: Health care coverage designed for the mind and body.

  • Flexible Downtime: Generous time off helps keep you energized for your time on.

  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

  • Invest in Your Future: Secure your financial future through competitive pay retirement planning a continuing education program with a company-matched student loan contribution and financial wellness programs.

  • Family Friendly Perks: Its not just about you. S&P Global has perks for your partners and little ones too with some best-in class benefits for families.

  • Beyond the Basics: From retail discounts to referral incentive awardssmall perks can make a big difference.

For more information on benefits by country visit: Hiring and Opportunity at S&P Global:

At S&P Global we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills experience and contributions. Our hiring practices emphasize fairness transparency and merit ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a domain or any other regionally based domains it is a scam and should be reported to. S&P Global never requires any candidate to pay money for job applications interviews offer letters pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines fraudulent domains and how to report suspicious activityhere.

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.

About the Role:Grade Level (for internal use):11Autonomous AI & Analytics OrchestrationRole SummaryThe Lead of Autonomous AI & Analytics Orchestration is responsible for architecting and operationalizing the next generation of intelligent autonomous agents across the organization. This role integrat...
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Key Skills

  • Adobe Analytics
  • Data Analytics
  • SQL
  • Attribution Modeling
  • Power BI
  • R
  • Regression Analysis
  • Data Visualization
  • Tableau
  • Data Mining
  • SAS
  • Analytics

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