Sonum Jagadeesan

About Sonum Jagadeesan

I’m a results-driven professional with experience in Data Science and Product Management with deep expertise in architecting AI-powered business intelligence solutions and driving cloud-native data platforms that transform enterprise decision-making.Over the years, I have spearheaded the design and automation of scalable data pipelines and analytics workflows using Power BI, Microsoft Fabric, Azure DevOps, Snowflake, and advanced AI tools like Azure OpenAI GPT, delivering up to 90% reduction in manual analysis time and increasing user adoption by 30%+.I specialize in bridging the gap between data science, engineering, and business teams to build customer-centric analytics products that deliver measurable impact — accelerating time-to-insights, enhancing data governance, and optimizing cloud infrastructure cost and performance.Experienced in Agile product management, I lead cross-functional teams through iterative roadmap execution, stakeholder alignment, and data-driven prioritization to ensure solutions not only meet but exceed business goals.Passionate about driving innovation at the intersection of AI, cloud, and product leadership, I thrive on solving complex problems through automation and smart data architectures that empower enterprises to make smarter, faster decisions.Let’s connect if you’re interested in discussing how to leverage AI-powered analytics or streamline your data product development with scalable, secure, and user-friendly solutions.

Experience

1. Data Scientist Ai Engineering Product Manager

   Microsoft

   Dec 2023 — Present · Redmond, WA, US

   Worked on various projects under below categoriesProduct Management:• Reduced analyst manual effort by 24 hours per month by architecting and launching an automated PDF reporting workflow powered by Azure OpenAI (GPT-4o), accelerating stakeholder reporting cycles by 30%.• Influenced executive stakeholders to align AI platform roadmaps with corporate OKRs, contributing to a 30% improvement in emergency response times for smart traffic systems.• Led end-to-end development of an AI-powered BI platform (from discovery to production), aligning engineering, UX, and security teams to reduce analysis turnaround time by 90% and drive enterprise-wide adoption.• Drove executive alignment on AI strategy by translating complex technical capabilities into measurable business outcomes and scalable implementation roadmaps.Data Science & AI Engineering:• Spearheaded the rollout of Responsible AI governance frameworks across multi-cloud environments (Azure, AWS, GCP), partnering with Security to implement formal approval workflows and achieve 100% compliance with data privacy and release protocols.• Architected scalable data integration pipelines leveraging Azure DevOps, SharePoint, and modern ETL practices to consolidate historical datasets, enabling dynamic Power BI dashboards that improved strategic decision-making accuracy by 30% and strengthened cross-functional data reliability.

Education

• ICFAI Foundation for Higher Education, Hyderabad

  Master of Business Administration - MBA