About the Role:

Grade Level (for internal use):13

The Team:

The SP Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of SP Global.

The office is orientated around five strategic principles:

- A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology assets (current and future state) to support investment and integration decisions.
- Evolve Common Governance Standards - Evolve and embed enterprise-level governance and standards building on existing processes.
- Enable Enterprise-Scale Data, AI, Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units.
- Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks.
- Deliver Measurable Business Alignment Value Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment.

The office is newly formed as part of the companys strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms.





The Impact:

As a member of the Enterprise Architecture Office, you will be part of the newly formed SP EA office. You will support ~150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout SP Global.

Responsibilities and Impact:

- Design, develop, deploy and support AI agents that automatically enforce architecture governance policies, standards, and compliance requirements across enterprise systems
- Build intelligent automation solutions using machine learning and AI technologies to analyze code repositories, architectural diagrams, and system designs for compliance violations
- Implement automated architecture scanning tools that integrate with CI/CD pipelines to provide real-time feedback and prevent non-compliant deployments
- Develop custom AI models and agents that can interpret architecture documentation, assess technical debt, and recommend remediation strategies




- Create and maintain automated reporting systems that provide stakeholders with real-time visibility into architecture compliance metrics and governance health
- Collaborate directly with development teams to integrate AI-powered governance tools into their workflows, ensuring seamless adoption and minimal friction

Required Skills, Experience, and Knowledge

As a Director, Architecture Assurance Engineering:

- Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience
- Hands-on experience developing AI agents or intelligent automation solutions
- Proficiency in AI/ML frameworks and libraries
- Strong programming skills in languages such as Python, SQL, Java, or Go with experience in building production-grade applications
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for deploying AI solutions
- Knowledge of enterprise architecture principles, governance frameworks, and compliance standards
- Familiarity with CI/CD pipeline integration and DevOps practices for automated deployment
- Robust analytical and problem-solving skills with ability to translate business requirements into technical solutions

As a member of the Enterprise Architecture Community Governance team:

- Contribute to Enterprise Architecture Review Boards or technical governance processes, with understanding of compliance frameworks and exception handling procedures
- Assess existing AI systems and infrastructure, identify performance bottlenecks, and recommend optimization strategies

📌 Director, Enterprise Architecture Assurance Engineering (Gurugram)
🏢 S&P Global Market Intelligence
📍 Gurugram