Principal Lead Architect

Ameriprise Financial Services; India; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Ameriprise India LLP seeks an experienced Enterprise Data Architect to lead governance, modernization, and AI-ready architecture across transactional systems, data platforms, and cloud environments. You will guide platform investments, establish standards, and partner with business and technology leaders.

The role requires 9–12 years of experience, strong cloud delivery background (AWS preferred), and excellent stakeholder communication.

Qualifications

• Define and govern enterprise data architecture standards across transactional systems, data warehouses, master data, and analytical platforms.
• Lead data modernization programs including cloud adoption and modernization of enterprise reporting and analytics capabilities.
• Experience with AI and analytics and architecture patterns.

Responsibilities

• Define and govern enterprise data architecture standards across transactional systems, data warehouses, master data, and analytical platforms, ensuring scalability and compliance.
• Lead data modernization programs including cloud adoption and data migration strategies.
• Serve as the enterprise thought leader for data and AI architecture, mentoring architects and engineering teams.

Skills

Enterprise data architecture

Cloud delivery

AI/Analytics

Mentoring teams

Communication skills

Education

Bachelor's degree in CS/Engineering

Tools

AWS

Job description

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.
• Define AI-ready architecture patterns supporting analytics, machine learning, generative AI, knowledge graphs, semantic data models, vector data stores, data products, and intelligent business capabilities.
• Evaluate emerging technologies and guide platform investment decisions across cloud, data, analytics, and AI domains while ensuring scalability, resiliency, security, and operational excellence.
• Serve as the enterprise thought leader and trusted advisor for data and AI architecture, mentoring architects and engineering teams, driving architectural governance, and influencing strategic technology direction across the organization.

Required Qualifications

Bachelors degree or equivalent in Computer Science, Engineering, or related technical field; or related work experience.

9-12 years of relevant experience required.Broad experience across various engineering disciplines (cloud, network and security) with depth of exp

erience in at least one area and some exposure to cloud delivery in past.Knowledge of Enterprise-wide architecture and ability to 'see the big picture' and how it affects current and future technologies.

Internal/External consulting experience that spans organizational boundaries and includes influencing technology and business leaders.

Experience in the architecture, design, implementation and support of complex enterprise solutions.

Exposure to multiple, diverse technical configurations, technologies, and process improvements.

Experience on AI and analytics is must have

Preferred Qualifications

Demonstrated ability to explain highly technical solutions to technical and non-technical teams.

Excellent communication skills and attention to detail.

Ability to set direction and lead teams in implementing complex architectures.

Strong analytical skills to be able to break down complex problems and design appropriate solutions, leveraging industry patterns where applicable.

Exposure to cloud technologies AWS (must have) / Azure or Google (optional/ good to have). Related cloud solution architect certification will be good to have.

In-Office Collaboration

We are a client-centric, relationship-based business. Working together, in-person, i