VP - Data Engineering & AI (Pune Division)

Your Team Responsibilities Our team is responsible for building and maintaining the Data platform, a business-critical component that powers MSCIs S&C; offerings . We manage the end-to-end lifecycle of ESG datafrom ingestion, transformation, and scoring, to final delivery to internal consumers and external clients. Key Responsibilities Of The Team Include Designing scalable data pipelines using Databricks, PySpark, and BigQuery. Supporting regulatory-compliant ESG scoring and reporting logic. Partnering with ESG Research and Index teams to translate methodology changes into platform features. Ensuring data quality, platform stability, and SLA adherence. Driving automation and modernization across the ESG data ecosystem. Your Key Responsibilities Define and execute enterprise data and AI pipelines/workflows aligned with business objectives, leveraging PySpark, Databricks, BigQuery, and AI-driven automation frameworks. Design, maintain, and optimize scalable distributed data pipelines, lakehouses, and real-time processing systems for S&C; and fund-related datasets. Perform complex SQL-based transformations, manage data models supporting scoring, audit, delivery, and ensure data governance, quality, security, and compliance standards. Architect and deploy AI, RAG, and Agentic AI/multi-agent solutions to enhance analytics, automation, and operational efficiency across business functions. Analyze data, troubleshoot data discrepancies, and lead incident triage, root cause analysis, and resolution of platform anomalies. Collaborate with Product, Engineering, and senior stakeholders to identify opportunities for innovation, automation. Build, mentor, and lead high-performing data engineering and AI teams while driving platform scalability, quality monitoring, and operational excellence. Document workflows, scoring logic, AI processes, and data flows to ensure transparency, audit readiness, and knowledge sharing across teams. Your Skills And Experience That W .