We are seeking someone to join our team as a Data & Analytics Team Lead.

AI and Data Technology (AIDT) is a horizontal, dynamic and fast-paced area within the Firm's WM Technology Division.

AIDT is a team of data scientists, solutions architects, business analysts, developers, security engineers and QA specialists, applying cutting-edge technology to enable data-driven initiatives across Wealth Management. We are transforming the way our business, financial advisors and clients use data to make smarter decisions-creating new capabilities that differentiate us on the Street.

As an integral part of AI & Data Tech (AIDT), the Sandbox team is tasked with providing a high-performance, highly reliable analytics and data integration platform, leveraging the latest technologies in cloud (Snowflake, DataBricks, DataIKU) and advanced analytics to a wide variety of users and use cases.

As a Team Lead, you will be responsible for both being hands on and leading a team of professionals, ensuring the successful delivery of projects and quality of work.

You will provide input and work with leadership in strategic planning for Sandbox Area, work with project management and help our business partner's success.

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 Data & Analytics Team Lead position at Director level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

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:

Lead a team of professionals, providing guidance, support, and development oversight.

Taking point for developing Cloud solutions and participating in migration efforts from legacy technologies.

Participate in end-to-end project delivery from inception to post-implementation support.

Analyse existing designs and interfaces, applying design modifications or enhancements.

Provide insights and resolution for ad-hoc issues raised by Sandbox users.

Test software components and complete solutions, including debugging and troubleshooting, performance tuning and other activities as needed to ensure Sandbox runs smooth and delivery is unhindered.

Provide reporting-line transparency through periodic updates on project or task status.

Perform root cause analysis of issues and design solutions as required with partner teams.

Provide support to issue resolution as needed, which may happen in late hours.

Participate in Friday/Weekend releases - team release cadence in currently Monthly, but other team's releases may impact the space

What you'll bring to the role:

Experience in leading a small team of developers

Minimum of 5 years of experience in a data space position - preferably data engineer or similar.

Bachelor's Degree in Engineering, preferably Computer Science/Engineering.

Experienced with the technical analysis, design, development, and implementation of Data Lake and cloud data solutions.

Hands-on experience in Hadoop, Snowflake, or DataBricks, with the ability to optimize performance.

Strong RDBMS and data warehousing concepts.

Strong SQL skills with a focus on data integration, ETL, and ELT.

UNIX Shell scripting or Python experience to support data warehousing solutions.

Excellent communication and interpersonal skills - this job requires interfacing with many teams and a community of users.

Ability to manage multiple small engagements alongside to a few large simultaneously and prioritize, then delegate tasks effectively for the team.

Nice to have:

Deep knowledge of Snowflake and/or DataBricks

Experience with Data Analytics tools such as DataIKU, Tableau, or Alteryx.

Experience in optimizing very large data loads.

Experience with detailed error/exception handling and data validation issues.

Experience in designing ETL solutions and data conversion strategies.

Experience in Agile methodology.

Experience in developing, managing, and maintaining data dictionaries or metadata

Personality:

Ability to gather user requirements and interface with business partners as required.

Process-oriented, focused on standardization, streamlining, and implementation of best practices.

Excellent problem-solving and analytical skills.

Excellent verbal and written communication skills.

Ability to work in multi-site/multi-geography organizations.

Ability to multi-task and function efficiently in a fast-paced environment.

Self-starter with flexibility and adaptability in a dynamic work environment who is a good team player.

Participate in team accountability: deliverables, discipline, consistency.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.