Senior Solution Architect (Data & AI Solution Specialist) in City of London

A senior Solution architecture specialist focused on designing and championing cloud- Data & AI solutions for Banking, Financial services and Insurance clients. This role translates complex business requirements into winning technical solutions – leveraging modern data & AI platforms and AI/ML services on cloud – and ensures proposals are compelling, feasible, and outcome-oriented. The Data & AI Solution Specialist works closely with Data & AI Practice, Onsite teams and customer teams and client stakeholders to drive deal success and leading delivery teams for execution.

Your responsibilities:

• Client Consulting & Opportunity Shaping: Lead workshops and consultations with client business and IT stakeholders to uncover needs in areas like data modernization, advanced analytics, AI/ML, and regulatory compliance. Translate business objectives (e.g. enhanced customer insights, automation of processes, risk analytics) into well-defined Data & AI use cases and solution approaches.
• Solution Architecture & Design: Develop end-to-end cloud- data & AI architectures – spanning data ingestion, storage (data lakes/warehouses/data integration, transformation and Data products), processing pipelines, analytics dashboards, and machine learning/AI platforms. Ensure designs meet non-functional requirements (scalability, security, resilience, performance) and align with BFSI regulatory and security standards.
• Consulting Leadership: Own the technical solution in Consulting opportunities and RFP responses. Write and present the solution overview, methodology, delivery plan, and value proposition. Quantify business benefits (e.g. faster time-to-insight, cost savings through cloud, improved compliance through better data governance) and contribute to pricing and effort estimates. Ensure proposals clearly address client pain points and differentiate TCS’s Data & AI capabilities.
• Demonstrations & Proof of Concept (PoC): Create and deliver impactful demos, proofs-of-concept, and prototypes using cloud data platforms (Data integration, Transformation and Data products) and AI services to validate solution feasibility and value. Tailor demo scenarios to BFSI use cases (like fraud detection, customer 360 analytics, regulatory reporting) to build client confidence.
• Collaboration & Handover: Work closely with internal teams – sales, delivery managers, domain consultants, and cloud partners – to ensure proposed solutions are deliverable and aligned with available capabilities. Assist in a smooth transition from sales to delivery, briefing delivery teams on the designed solution, architecture decisions, and client expectations. Provide early-stage support to resolve any design challenges.
• Thought Leadership & Best Practices: Contribute to the development of re-usable Data & AI accelerators, reference architectures, and best practice guides. Mentor junior solution architects and stay up to date with emerging cloud data technologies (e.g. Data Lakehouse, DataOps / MLOps, generative AI) to continuously enhance proposal quality.

Profile summary:

• 15+ years of experience in data architecture, data engineering, and analytics platforms
• Experience with AWS, GCP, Snowflake, Databricks and Azure data services
• Strong background in data integration, reporting, and big data ecosystems
• Design and implement AI and Gen AI solution for data value chain
• Lead enterprise data platform modernization from on-prem to cloud for banking and insurance clients.
• Architect and implement scalable solutions using Snowflake and Databricks on AWS, GCP and Azure platforms.
• Design data integration pipelines (batch, real-time, big data) and analytics platforms
• Enable enterprise reporting and BI solutions for regulatory and business needs
• Define and implement data governance, quality, metadata, and lineage frameworks
• Act as a trusted advisor to senior business and IT stakeholders
• Mentor teams and contribute to solutioning and pre-sales activities

Desirable skills/knowledge/experience:

• BFSI domain experience (Banking, Financial Services & Insurance)
• Multi-cloud or hybrid data architecture exposure
• Cloud or data platform certifications – specially on cloud data technologies