Senior Engineering Manager – Data, AI and Knowledge Graph Platforms

Department Profile: Firmwide Data Office (FDO)

The Firmwide Data Office (“FDO”) sits within Morgan Stanley Technology and focuses on data as a key priority within the overall Technology and the Firm strategy.

We are a team of around 270+ people distributed globally and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g., Operations, Finance, Risk, Trading, Treasury, Resilience, Production Management) across the Firm. The team vision is a multi-year effort to improve data governance & management practices, to demonstrate data quality controls, simplify firm’s data architecture and business processes front-to-back, empowering developers by providing consistent means of handling data, facilitating data-driven insights & decision making.

Program Description

We are working on an exciting initiative to build an Enterprise Knowledge Graph by harnessing the power of Graph and Semantic technologies along with Big Data and other innovative technologies to map complex business, application, data, and infrastructure asset relationships to facilitate data-driven insights and decision making.

Across our business divisions, as we strive to understand risk impact, optimize cost, assess business resiliency, manage change, and identify opportunities - all critical to fuel the growth engine -, we need to link vast amount of data of different types and forms across heterogeneous data sources across the Firm to generate meaningful intelligence. The underlying data will describe the Firm’s businesses, business processes and various operational assets required to support those businesses (systems, technology infrastructure, datacenter facilities, workforce, workforce facilities, external supplier services and industry utilities).

Role

The “Firmwide Data Office” department is recruiting for an enthusiastic, dynamic, hands-on and delivery focused Application Development Lead (Technical Architect) for this innovative program that plans to harness the power of Graph & Semantic Technologies to build an Enterprise Knowledge Graph as well as combine that with LLMs and Agentic AI. The role will lead delivery while shaping system design and technical direction, with the ability to go hands-on especially leveraging model AI-assisted development tools.

As a member of our Software Development team, we look first and foremost for people who are passionate about solving business problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner with stakeholders to stay focused on business goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. You'll combine your design and development expertise with a never-ending quest to create innovative technology through solid engineering practices. You’ll work with highly inspired and inquisitive team of technologists who are developing & delivering top quality technology products to our clients & stakeholders.

Responsibilities

• Leading diverse technology team contributing to this strategic initiative, setting high standards for design, execution and delivery
• Develop people through coaching, mentoring and management
• Lead the design, development and support of full-stack, n-tier distributed applications
• Act as a thought leader in the technical space through researching and knowing industry trends as well as cutting edge tools and technologies
• Collaborate with business and other technology teams to translate business requirements into innovative solutions implementing performant, scalable, resilient distributed applications
• Work closely with business and technology stakeholders to align development priorities & planning with product and technology roadmap
• Leverage modern AI development tools to accelerate engineering productivity and innovation

Requirements

• Bachelors or Masters Degree in Computer Science, Computer Engineering, Data Analytics or related field
• 12+ years of experience designing and implementing n-tier distributed full-stack applications, with recent experience as Engineering or Tech lead
• Strong experience in Big-data technologies (e.g. complex data pipelines, streaming systems, Lakehouse based platforms, Snowflake and Snowflake Cortex AI), data architecture & platform design, semantic & knowledge graph platforms
• Successful experience leading high-performing development and engineering teams with a proven and demonstrable track record of execution and delivery
• Strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non-technical audiences
• Experience & expertise across following aspects:
  • Java – Core Java, Multithreading, Spring, Caching, Security/Authentication
  • API Design and Development – REST, GraphQL, JSON, Microservices Architecture
  • Experience architecting, designing and deploying applications on Microsoft Azure or AWS.
  • Design Patterns, Object Oriented Design
  • Agile Development, TDD, BDD
  • Full software development life cycle
  • Implementing DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code-utilizing tools like Jenkins, Gradle and Git
  • Scalability, High Availability, Failover
  • Databases - SQL, Stored Procedures, Query Tuning
  • Python Programming
  • Linux/Unix, Shell Scripting
  • Semantic and Graph Technologies - Graph DB / Triple Stores like Stardog, GraphDB, NoSQL DBs, SPARQL, Ontology, RDF, OWL, R2RML, Graph Analytics & Inferencing
  • Experience building Chatbots and other analytics applications using LLMs, Machine Learning,  Natural Language Processing (NLP), Vector DBs

Desired Skills

• Data Modeling, Ontology development
• Experience with ML Ops best practices and implementation
• Experience in Financial Services working with various front-to-back business functions like Sales and Trading, Operations, Finance etc.

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.

Expected base pay rates for the role will be between $195,000 and $275,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. #LI-SK1

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.