Inclusion without ExceptionTata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.
TCS is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive-powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS operates in 55 countries and employs over 607,000 highly skilled individuals, including more than 10,000 in Canada. The company generated consolidated revenues of US $30 billion in the fiscal year ended March 31, 2025, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.
Role Purpose:A senior Solution architecture specialist focused on designing and championing cloud-native 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.
Key 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-native 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.
Key Responsibilities- 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 and implement AI and Gen AI solution for data value chain
- Design data integration pipelines (batch, real-time, big data) and analytics platforms
- Enable enterprise reporting and BI solu