Principal Lead Architect

About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 20 years. We are part of Ameriprise Financial Inc., a US financial planning company headquartered in Minneapolis with a global presence and diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions, and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So, if you're talented, driven and want to work for a strong, ethical company that cares, take the next step and create a career at Ameriprise India LLP. Job Description Provide strategic leadership for enterprise data, analytics, and AI architecture by defining and governing scalable, secure, and compliant data ecosystems across transactional systems, data platforms, and cloud environments. Lead data modernization and transformation initiatives, establish trusted data foundations through governance and quality practices, develop AI-ready architecture capabilities, and drive the long-term data and AI roadmap. Serve as a trusted advisor to business and technology leaders, guiding platform investments, architectural standards, innovation, and enterprise-wide adoption of modern data, analytics, and AI solutions. Key Responsibilities Define and govern enterprise data architecture standards across transactional systems, data warehouses, master data, and analytical platforms, ensuring scalability, interoperability, compliance, and alignment with business and technology objectives. Define and govern enterprise data architecture standards across transactional systems, data warehouses, master data, and analytical platforms, ensuring scalability, interoperability, compliance, and alignment with business and technology objectives. Lead data modernization programs, including legacy data platform exits, data migration strategies, application and database rationalization, historical data retention, cloud adoption, and modernization of enterprise reporting and analytics capabilities. Develop and maintain the enterprise data, integration, and AI architecture vision, strategy, standards, and multi-year modernization roadmap, including data platforms, ETL/ELT ecosystems, and cloud-native data services. Establish trusted data foundations through governance, metadata management, lineage, data quality, master data management, and regulatory compliance practices.