Nirav Shah

About Nirav Shah

Experienced BI and Data Management professional with 13+ years in the banking industry, specializing in MicroStrategy platform administration, data products, and cloud migration. I have led multiple end-to-end cloud transformation journeys—from AS-IS architecture assessment to TO-BE design, migration, and stabilization—and played key roles as Proxy Product Owner and Cloud Lead, owning critical parts of the data value chain, including metadata management and Integrated Datasets (data products).Strong hands-on background across MicroStrategy, Business Intelligence, Data Warehousing, and Oracle technologies, with a focus on code quality, CI/CD automation, incident management, and operational excellence. Outside work, I am an endurance runner (12-hour stadium run, ultra & full marathons) and a founder of multiple education platforms reaching 600K+ quarterly views, driven by a passion for execution, scale, and impact.

Experience

1. Data Management & Governance - Data Products & Ids

   Tata Consultancy Services

   Jul 2023 — Present

   Responsible for Product Owner activities for Integrated Datasets (data products), owning backlog, priorities, and delivery across the banking data value chain.Captured and maintained business, technical, and operational metadata for IDS, ensuring data products are well-defined, governed, and consumption-ready.Defined technical views and dataset structures to support reliable delivery of Integrated Datasets for analytics, reporting, and regulatory use cases.Drove the end-to-end IDS delivery lifecycle, including requirement intake, refinement, development, release, and production support.Led cloud migration of IDS applications to FSCP 3.0, coordinating with platform and engineering teams to ensure secure, scalable deployments.Governed code quality, release readiness, and incident management metrics (SLA, MTTR, platform stability) to ensure operational excellence.Acted as the key interface between business stakeholders, data engineers, and platform teams, translating business needs into scalable data products.Hands-on Data Management Capability InteractionEnterprise Data Lake – Onboarded data sources, validated ingestion pipelines, managed schema changes, and enabled reliable downstream consumption.Data Strategy – Aligned application-level deliveries and priorities with enterprise data strategy and long-term platform goals.Federated Data Governance – Worked with governance teams to define metadata, ownership, access controls, and data quality rules at data product level.Data Products (Integrated Datasets) – Delivered IDS by refining requirements, defining technical views, capturing metadata, and ensuring readiness for consumption.Data Marketplace – Published data products, managed approvals, enabled discoverability, and supported consumers with access and usage clarity.Data Lineage – Documented and validated source-to-consumption lineage, supported impact analysis, audits, and regulatory requirements.

Education

• Shah And Anchor Kutchhi Engineering College

  Bachelor of Engineering - BE, Information Technology

  2007 — 2011