Director Investment Technology

ameriprise; India; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Ameriprise India LLP seeks a hands-on Senior Technology Leader to architect and implement advanced analytics across Investment platforms. You will collaborate with global stakeholders and lead a cross-functional team across front-end, back-end, and data layers.

The role requires strong engineering craft in Java and Python, plus strategic leadership to drive cloud-native solutions, data enablement, and AI-driven investments workflows. You will mentor teams and shape a data-driven culture.

Qualifications

• Proven hands-on engineering leadership in Java and Python.
• Strong cloud-native architecture experience.
• Experience with data analytics or AI/GenAI is a plus.

Responsibilities

• Define and drive technology strategy aligned with Investments goals.
• Remain hands-on in Java/Python while guiding the team.
• Lead cloud/data enablement initiatives using AWS services.
• Prototype and productionise AI/GenAI use cases in investment workflows.
• Mentor global engineering teams and drive culture of learning.

Skills

Java

Python

Cloud computing

Full-stack engineering

Tools

AWS

React/Angular

Node.js

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

This is a hands-on senior technology leadership role supporting the development and implementation of advanced analytics across Investment technology stacks, engaging directly with global stakeholders across Investments, Trading, Investment Operations, Products, Vendors, and wider technology teams. The role requires strong hands-on engineering craft in Java and Python, alongside strategic leadership.

This includes leveraging Generative AI, Big Data, Machine Learning, and other cutting-edge Distributed Technology Stack with Full-stack Development practices. Provide strategic ideas and thought leadership with practical AI fluency - a clear, evidence-based view of what works, what doesn’t, and how to apply it. Applies solid financial industry business knowledge to support decision and strategy solutions in key business areas. Demonstrates strong technical/problem solving skills. Manages multiple projects collaboratively. Mentor the team members and lay out their collective path for growth.

Key Responsibilities

• Strategic Technology Leadership: Define and drive technology strategy aligned with Investments business goals. Identify opportunities for value creation through cloud-native architecture, data enablement, and full-stack engineering solutions.
• Hands-On Engineering Leadership: Remain hands-on in Java and Python. Set the engineering bar across code quality, architecture, resilience, and cost efficiency. Contribute directly to design and implementation of critical components alongside leading the team.
• Cloud & Data Enablement: Lead initiatives that leverage AWS services (e.g., S3, Glue, Athena, Lambda, ECS) to build scalable, secure, and cost-effective platforms for investment analytics, reporting, and modeling.
• Practical AI Fluency & Application: Bring a pragmatic, evidence-based view on AI/GenAI adoption. Identify, prototype, and productionise GenAI use cases in investment workflows, with a clear approach to guardrails, evaluation, cost, and latency trade-offs.
• Domain-Driven Engineering: Translate complex investment domain problems into actionable engineering solutions. Collaborate with business stakeholders to define problem statements and deliver high-impact technology outcomes.
• Solution Architecture & Modeling: Oversee the design and implementation of decision logic systems that support investment decision-making and portfolio management.
• Delivery Excellence: Ensure timely and high-quality delivery of engineering solutions. Manage prioritization across multiple initiatives in a matrixed environment, balancing strategic and tactical needs.
• Senior Stakeholder Engagement: Operate credibly with senior technology and business leaders. Able to be brought into detailed working sessions with other senior tech leaders on strategy, architecture, and delivery, and influence decisions through clear, business-aligned communication.
• Team Development & Culture: Build and nurture a high-performing global engineering team. Promote a culture of innovation, accountability, and continuous learning. Lead performance management, coaching, and recruitment efforts.
• Cross-Functional Collaboration: Partner with analytics, product, and business teams to co-create solutions. Drive alignment across technology and business functions to support flagship initiatives.
• Full Stack Engineering Oversight: Lead and personally contribute to development across front-end (React, Angular), back-end (Java, Node.js, Python), and data layers. Ensure robust, maintainable, and scalable codebases aligned with cloud-native principles.
• Cloud Platform Strategy: Provide inputs and implement AWS-based solutions for data ingestion, processing, and visualization. Optimize cloud usage for performance and cost efficiency.
• Investment Technology Expertise: Apply deep domain knowledge in investment products, portfolio analytics, and financial advisory to guide technology decisions and solution design.
• Advanced Analytics Enablement: Collaborate with data science and analytics