Lead Data & Analytics Engineer - VP

Team Profile (Firmwide Data Office)

The Firmwide Data Office department is recruiting for an enthusiastic, dynamic, hands‑on and delivery focused Ontologist / graph developer for an innovative program that plans to harness the power of Graph & Semantic Technologies to build an Enterprise Knowledge Graph – to solve complex business problems and deliver value to various business divisions.

The team vision is a multi‑year effort to simplify the firm’s data architecture and business processes front‑to‑back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitating data‑driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper and easier.

• Participate in ontology creation, ontology management and semantic enrichment efforts; work on strategies to leverage ontologies to facilitate natural language processing including fact extraction, document classification and query processing.
• Devise and implement processes to validate data in a semantic context and develop metrics and procedures for assessing, managing and characterizing datasets.
• Work with data analysts to design procedures to leverage knowledge graph data in a machine learning space.
• Contribute to data architecture and data management strategy design.
• Promote the creation of semantic data models and SPARQL endpoints to link quality data.
• Work to develop processes and procedures to integrate taxonomies into the knowledge graph environment.
• Participate in collaborating with the Firm's Ontology and Semantic Modeling consortium to develop standards and best practices.
• 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.
• Act as a thought leader in the technical space through researching and knowing industry trends as well as cutting edge tools and technologies.

• Experience and expertise in W3C compliant semantic models (RDF, OWL and SPARQL).
• Experience with relevant ontology development tools and industry standard knowledge graph database tooling.
• 5+ years complex enterprise scale data & metadata architecture experience.
• Demonstrable experience in developing mappings and transformation processes to take data from a relational paradigm into a knowledge environment.
• Strong problem‑solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non‑technical audiences.

• Proficient in Python, Java, JavaScript or other programming languages.
• Experience in utilizing ontology in developing natural language processing solutions.
• Experience utilizing graph data in a machine learning environment.
• Experience in creating data validation processes using SHACL, SPARQL or other rule languages.
• Experience in Financial Services working with various front‑to‑back business functions like Sales and Trading, Operations, Finance etc., or in an Information Management framework.

Bachelor's degree in information science, computer science, library science, computational linguistics, mathematics, philosophy or related discipline.

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…