Mrutyunjay Panigrahi

Enterprise Architect with 20+ years in banking, having led large-scale data architecture initiatives at HSBC and Barclays. I design enterprise-grade data solutions that turn fragmented data into trusted, governed, business-ready assets — reporting directly to the CTO on architecture strategy and execution. I partner with business and technology stakeholders to design architecture models that align IT systems with business processes, ensuring technology investments support strategic goals, and evaluate technology solutions based on business needs, trends, and security requirements. My core strength is enterprise data modeling, master data management, and metadata management — the foundation for accurate, auditable data at scale. I have hands-on expertise building Data Products as reusable assets, implementing Data Virtualization for real-time access, and driving Data Hydration strategies for reliable availability. Beyond architecture, I translate complex business data into clear insight storytelling — helping executives see what the data means, enabling faster, confident decisions. Given banking's regulatory intensity, I have hands-on expertise building in Data & AI Governance and Risk Management — embedding controls, lineage, and compliance (BCBS 239, GDPR, SEC) into architecture, particularly as institutions adopt AI-driven decisioning. Core Mission: Transforming legacy data infrastructures into agile, secure, modern platforms that lower TCO, accelerate decisions, and uphold data integrity and risk mitigation. Key Competencies: • Enterprise Architecture & Roadmapping: Design target-state data architecture, capability maps, IT standards, and roadmaps aligned with CTO and board strategy.• Technology Evaluation & Stakeholder Alignment: Partner with leadership and Governance Forums to evaluate cloud, AI, and data technologies, driving vendor selection aligned with business strategy.• Data & AI Governance: Establish governance frameworks, metadata strategies, MDM, and AI/ML model governance for traceability and compliance.• Data-as-a-Product: Architect domain-driven Data Product frameworks and data contracts to democratize access with strong metadata and lifecycle management.• Data Virtualization & Hydration: Design decoupled virtualization architectures and hydration pipelines for low-latency, real-time analytics across hybrid/cloud platforms.• Risk & Regulatory Compliance: Embed security protocols, access controls, encryption, and risk practices into pipelines to satisfy global banking regulations.