Ai Reporting Architect/lead India Pune..., 1 Position

3 weeks ago


Pune Maharashtra, India Zensar Full time

Job Title AI Reporting Architect Lead Role Overview We are seeking a visionary and hands-on AI Reporting Architect to lead the design and implementation of advanced reporting and analytics capabilities for our enterprise-grade Treasury platform This role will drive the architectural strategy for AI-powered reporting solutions collaborating closely with Product Owner Backend Developers Data Engineers and Business Analyst to deliver scalable intelligent insights The ideal candidate combines deep technical expertise in data architecture AI ML integration and reporting frameworks with an understanding of Treasury operations and financial analytics Key Responsibilities Design scalable data models and reporting pipelines that integrate with backend microservices and Spark-based data platforms Collaborate with Data Engineers to optimize data ingestion transformation and storage for high-performance analytics Work with Backend Developers to ensure seamless integration of reporting components within containerized NET environments Partner with Business Analysts to translate business requirements into technical reporting specifications and validate outputs against stakeholder expectations Define and enforce architectural standards data governance policies and performance benchmarks for reporting systems Evaluate and integrate AI ML models to enhance predictive analytics and anomaly detection in Treasury reporting Lead proof-of-concept initiatives and guide the team through technology selection prototyping and production rollout Required Experience Skills 10 years of experience in data architecture reporting systems or analytics platforms with exposure to Treasury or financial domains Proven expertise in designing enterprise reporting solutions using tools such as Power BI Tableau or custom-built dashboards Strong understanding of AI ML concepts and experience integrating models into reporting workflows Deep knowledge of data modeling ETL design and distributed computing frameworks e g Apache Spark Familiarity with backend technologies including C NET Core and containerization Docker Kubernetes Experience with AWS cloud services e g EMR Glue Lambda S3 and CI CD pipelines Excellent communication and collaboration skills with the ability to align technical architecture with business goals Bonus Experience with financial instruments liquidity models or regulatory reporting frameworks



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