Lead Data AI Engineer_Vice President_Data & Analytics Engineering

Lead Data AI Engineer _Vice President_Data & Analytics Engineering

We’re seeking someone to join our Enterprise Technology as a Lead Data AI Engineer within the Architecture & Modernization team, you will be instrumental in building and maintaining the data infrastructure that powers our technology datalake. This role will involve hands-on development, data pipeline creation, and close collaboration with stakeholders across the organization. You will be one of the first members of the team based in India, providing a unique opportunity to contribute to the team's growth and direction in this location. This role requires a self-starter with strong execution skills and the ability to work independently. You will be expected to not only execute on the current strategy but also contribute to its evolution. We are also looking for candidates who aspire to contribute to the broader data architecture community and become thought leaders in the space. We value diversity of thought and are committed to building a team that reflects the diversity of our global community.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Engineer position at Vice President Level, which is part of the job family responsible for developing and maintains software solutions that support business needs.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you’ll do in the role:

• Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes.
• Work with structured and unstructured data to ensure it is accessible and usable.
• Optimize data systems for performance and scalability.
• Implement data quality and data governance standards.
• Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions and provide data-driven insights.
• Contribute to the documentation and knowledge sharing within the team, creating and maintaining technical documentation and training materials.
• Participate in code reviews and contribute to the improvement of development processes.
• Contribute to the broader data architecture community through knowledge sharing, presentations.

What you’ll bring to the role:

• 10+ years of being a practitioner in data engineering or a related field.
• At least 6 years' relevant experience would generally be expected to find the skills required for this role.