Vice President

Morgan Stanley; Mumbai; On-site; INR 4,500,000 - 8,000,000; Full time

Job summary

Morgan Stanley in Mumbai is seeking a Lead Data Engineer to drive the design, development, and deployment of an enterprise data warehouse, analytics, and reporting solution. You will lead a team, mentor engineers, and collaborate with cross-functional partners to define data strategy and deliverables, with a focus on cloud platforms like Snowflake and AI-enabled data processes.

The role requires a strong background in finance data domains and leadership, with experience in modern SDLC, CI/CD,

Qualifications

• 10 years of experience in data engineering, data architecture, or related roles.
• At least 6 years' relevant experience to meet role requirements.
• Strong domain knowledge in finance, investment banking, or related industries.
• Experience leveraging GenAI, Copilot, or AI-based solutions for enterprise data and analytics.
• Hands-on experience with cloud data platforms (preferably Snowflake) and modern data engineering tools.

Responsibilities

• Drive adoption and integration of GenAI, LLMs, and AI/ML for ETL automation and data enrichment.
• Provide technical leadership and mentorship to a high-performing data engineering team.
• Collaborate with stakeholders to define data strategy, requirements, and deliverables.
• Champion SDLC practices including automated testing, CI/CD, and agile delivery.
• Advance data automation, quality, and governance across data engineering.
• Ensure robust data governance, security, and compliance throughout the lifecycle.
• Manage stakeholder relationships and communicate project status while addressing risks.
• Embrace new technologies to enhance data capabilities and business value.

Skills

SQL

Data modeling

ETL

GenAI / AI in data

Snowflake / cloud data

Leadership

SDLC / Agile

CI / CD

Python

Shell scripting

Stakeholder management

Communication

Tools

Power BI

Apache Airflow

Snowflake

Job description

Lead Data Engineer- Vice President – Data Engineering Profile Description

We’re seeking someone to join our FRPPE Tech team as a Lead Data Engineer in Finance Technology to work on the design, development, and implementation of enterprise-scale data warehouse, reporting, and analytics solutions, preferably on cloud platforms such as Snowflake. About Finance Technology: Finance Technology at Morgan Stanley delivers innovative solutions for regulatory and financial reporting, general ledger, P&L calculations, and analytics. The team leverages advanced data platforms, modern engineering practices, and is a pioneer in leveraging GenAI for finance productivity - building innovative solutions for automation and efficiency. 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 Data Engineering, which is part of the job family responsible for developing and maintaining 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:

• Drive the adoption and integration of GenAI, LLMs, and modern AI/ML techniques for ETL automation, data enrichment, reporting commentary, and intelligent data distribution across the enterprise.
• Provide technical leadership and mentorship to a high-performing team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
• Collaborate with business stakeholders, technology partners, and cross-functional teams to define data strategy, requirements, and deliverables aligned with organizational goals.
• Champion modern SDLC practices, including automated testing, CI/CD, and agile methodologies, to ensure high-quality, scalable, and maintainable solutions.
• Drive automation, data quality, and best practices across all data engineering processes and solutions.
• Ensure robust data governance, security, and compliance throughout the data lifecycle.
• Manage stakeholder relationships, communicate project status, and proactively address risks and challenges.
• Champion the adoption of new technologies and methodologies to enhance data capabilities and business value.

What you’ll bring to the role:

• 10 years of experience in data engineering, data architecture, or related roles, with a proven track record of delivering enterprise-level solutions.
• At least 6 years' relevant experience would generally be expected to find the skills required for this role.
• Deep expertise in SQL, data modeling, ETL, and building scalable data pipelines.
• Mandatory: Strong domain and functional knowledge in finance, investment banking, or related industries.
• Demonstrated experience leveraging GenAI, Copilot, or AI-based solutions for enterprise data, reporting, and analytics use cases, including design, code completion, review, and automated test case generation.
• Strong hands-on experience with cloud data platforms (preferably Snowflake) and modern data engineering tools.
• Proven ability to lead, motivate, and develop high-performing teams.
• Excellent problem-solving, analytical, and communication skills.
• Experience managing stakeholder relationships and delivering complex projects in a global environment.
• Strong understanding of modern SDLC, agile delivery, and innovation in data engineering.
• Experience with automated testing and testing frameworks.

Additional Skills (Good to Have):

• Familiarity with Power BI, Apache Airflow, and OLAP tools.
• Experience with Python, Shell scripting, and workflow automation.
• Exposure to regulatory and financial reporting requirements.
• Demonstrated track record of driving innovation and GenAI adoption in data engineering projects.
• Passion for continuous learning, business impact, and solution-oriented leadership.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that’s differentiated - and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what’s best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.