Senior Manager- Data Product Solutions Engineer

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

We are seeking a highly experienced (15+ years) and strategic leader with deep expertise in the Asset Management domain, particularly in Performance Analytics and Attribution, combined with strong capabilities in solution engineering, data engineering, modern data platforms, and AI-led transformation.

This role will act as the primary liaison between Business and Technology, driving solution design, enabling data-driven decision-making, and leading the transformation of the analytics ecosystem through AI, automation, and advanced data platforms.

Key Responsibilities

1. Domain Expertise – Asset Management

• Provide deep functional expertise in Asset Management, with strong knowledge of:
• Portfolio analytics and reporting
• Returns, Attribution, Analytics, Characteristics, and Ex-Post RiskCollaborate with business stakeholders (Performance Analytics, Investment
• Operations, Data Operations, Product Owners) to translate requirements into scalable solutions.
• Drive best practices and innovation in investment analytics frameworks.

2. Technology & Data Strategy

• Define and lead architecture for modern data ecosystems, including:
• Data Lakes / Lakehouse architectures
• Data Pipelines (batch & real-time)
• Data Integration frameworks
• Data Products and domain-oriented data models
• Ensure strong controls around:
• Data quality, lineage, and consistency
• Governance frameworks and standards
•  Promote a data-as-a-product mindset with strong ownership and accountability
• AI-Driven Transformation

Champion AI adoption across the analytics ecosystem, including:

• Generative AI for reporting, insights, and automation
• AI-assisted data engineering and data quality improvements
• Identify and implement use cases to transform legacy processes using AI
• Foster a culture of innovation and experimentation with emerging AI technologies.

3. Business–Technology Liaison

• Serve as the primary interface between Business and Technology teams.
• Translate complex business requirements into clear technical solutions and vice versa.
• Communicate effectively with senior stakeholders, including executives and leadership teams.
• Drive alignment across cross-functional teams and ensure successful delivery outcomes.

Required Qualifications

• Experience: 15+ years in Asset Management and Performance Analytics
• Strong expertise in:
• Performance Analytics & Attribution
• Portfolio data models and investment lifecycle
• Proven experience with:
• Data Lakes, Data Warehouses, and Lakehouse architecture
• ETL/ELT pipelines and data integration frameworks
• Data product development and domain-driven design
• Experience in solution design and technical leadership roles
• Hands-on exposure to cloud platforms (Azure/AWS/GCP)
• undefined AI & Innovation Skills

Strong understanding of:

• AI concepts and enterprise use cases
• Agentic AI tools and frameworks
• Demonstrated ability to apply AI to solve business problems
• Experience driving digital / AI transformation initiatives
• undefined
• Leadership & Soft Skills
  • Strong problem-solving and analytical thinking ability
  • Excellent stakeholder management and communication skills
  • Ability to influence without authority and lead cross-functional teams
  • Strategic thinker with a hands-on execution mindset
  • Passion for innovation and continuous improvement

Preferred Qualifications

Experience with investment platforms (e.g., Aladdin, Charles River, FactSet, Vermillion, Seismic)

• Familiarity with:
  • Data orchestration tools (Tidal, TWS)
  • Exposure to APIs and event-driven architectures
  • Certifications in cloud, data engineering, or AI will be a plus

In-Office Collaboration
We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least three (3) days per week, with flexibility to work from home two (2) days per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.
 

Full time(2:00p-10:30p)AWMPO AWMP&S President's OfficeTechnology

Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, military status, veteran status, marital status, pregnancy, family status or any other basis prohibited by law.

We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.