Sumit Agrawal

Background

About Sumit Agrawal

As a seasoned Senior Manager and hands-on Technical Program Manager with nearly 13 years of diverse experience in Analytics, BI DevOps, Cloud, FinTech, business intelligence, and data analytics, I have demonstrated a strong focus on program management. In my role as a Technical Program Manager, I led the development of multiple data products, managing end-to-end project planning and execution for global enterprises, spanning from data ingestion to consumption. Effectively steering a diverse engineering team of 20-30 members, I cultivated collaboration and successfully delivered multiple projects concurrently.My expertise extends to setting data strategy, enabling data management for business stakeholders, and a proven track record of migrating legacy Data and BI systems to modern platforms such as MicroStrategy, Power BI, and Tableau/AWS/Snowflake. I am an expert at modernizing and empowering self-serve data exploration environments.An empathetic leader, I bring solid experience in managing projects with multi-vendor teams across geographies. My contributions include delivering value-adds that led to increased Return on Investment (RoI) and higher user adoption by leveraging the full capabilities of BI tools. I have solid experience in business intelligence and data analytics, specializing in media and entertainment analytics, Financial/Tax Reporting, and healthcare analytics. My mission is to leverage data and analytics to drive business transformation and deliver substantial value to my clients.• Led comprehensive technical program management for projects around Analytics, Data & Cloud.• Running JIRA Sprints and managing backlogs. Acting as scrum master as needed with strong focus on prioritization • Stakeholder management: Vision Meeting, prioritization of backlog using RICE • Established a governance and reporting framework for the cloud space, ensuring optimal performance and adherence to industry standards • Experienced in complete project lifecycle BI: design, development, rollout, administration, upgrade, optimization, compliance, infrastructure capacity assessment, and planning. • Data warehouse design. • Driving BI adoption and evaluating new BI tools and deployment options.