Amit Mahavar

About Amit Mahavar

I am a Lead Business Architect with 15+ years of experience driving large-scale data, risk, finance, and regulatory transformations across global banking and financial services.At HSBC, I operate at the intersection of business strategy, data architecture, and regulatory compliance, shaping how enterprise data platforms enable RWA, Liquidity Risk, IFRS9, and Finance value streams. My role is fundamentally about translating complex regulatory and business needs into scalable, governed, future-ready data solutions. I specialise in:Defining target-state business and data architectures aligned to enterprise data strategy. Leading end-to-end change delivery for regulatory programs (PRA, EBA, HkMA, DFSA etc.).Designing and governing data flows, models, and consumption patterns across cloud platforms and APIs. Acting as the strategic bridge between business leaders, data engineering, and technology teams. Embedding data governance, quality, lineage, and control frameworks into deliveryDriving change adoption, stakeholder alignment, and architectural clarity at scale. My background spans RWA, Liquidity Risk, Credit Risk, IFRS9, Basel Risk Analytics, scorecard development, and Advanced Data Modeling, supported by hands-on experience with SQL, Python, SAS, BigQuery, Tableau, and QlikSense.I bring a structured, outcome-oriented mindset, combining deep regulatory knowledge with pragmatic execution—ensuring data is not just compliant, but truly decision-enabling.

Experience

1. VP - Lead Business Architect Data Modelling (Finance Change Delivery)

   HSBC

   Jan 2025 — Present · Gurugram, IN

   Define and maintain business architecture for Finance Data Store (FDS), aligning data capabilities with HSBC’s enterprise data strategy and regulatory agenda.Translate regulatory and business objectives into actionable architecture principles, roadmaps, and target-state designs.Lead design of end-to-end business processes and data flows, ensuring optimal use of cloud-based FDS capabilities.Oversee integration of business requirements into data models, refineries, and API-led consumption (RADAR).