Principal Knowledge Graph Architect (Hybrid)

We are seeking a Principal Knowledge Graph Architect to design, evolve, and operationalize semantic models and knowledge graphs that improve data understanding and reuse across the organization. This is a hands-on individual contributor role focused on ontology design, semantic consistency, and collaboration with business and technology partners.

In the Corporate Services division, we empower our businesses by creating collaborative workplace solutions and commercial services that enhance the employee and client experience, while optimizing the value of our sourcing and third-party lifecycle to enable the Firm to do-and-win business. This is a Director level position within the Business Information Services, which specializes in providing and maintaining business information services for the Firm, including front-office research and analytics, data product management, management of data services, data storage, and conducting research related projects.

Working closely with a business function such as Real Estate or Corporate Security, you will coordinate with subject matter experts across Corporate Services. Key responsibilities include the development of data ontologies and semantic models. You will ensure that the semantic use of the data is aligned to data definitions. You will collaborate with subject matter experts and data teams to translate real-world business concepts into well-structured semantic models that support analytics, AI, and data integration use cases.

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.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you'll do in the role:

• Partner with business subject matter experts to understand data domains and capture key concepts, relationships, and definitions.

• Design, maintain, and evolve ontologies, taxonomies, and semantic models aligned to real-world business processes.

• Build and manage knowledge graphs that standardize meaning across datasets and systems.

• Develop and maintain RDF-based representations and semantic relationships using established semantic web standards.

• Ensure semantic models remain consistent, extensible, and understandable as business needs evolve.

• Collaborate with data and platform teams to integrate semantic models into data platforms, while publishing and documenting reusable semantic artifacts and best practices

What you'll bring to the role:

• At least 6 years of professional experience with hands-on work in semantic modeling, knowledge graphs, or ontology development and a Bachelor’s degree or equivalent practical experience

• Practical experience designing and applying ontologies or semantic models in real-world data environments.

• Working knowledge of semantic web technologies (e.g., RDF, RDFS, OWL) and modeling complex data relationships.

• Experience with Knowledge Graph platforms and tooling (e.g., Neo4j) and modern graph-enabled AI approaches such as GraphRAG is a strong plus.

• Ability to translate business concepts into structured semantic representations.

• Familiarity with Python for data work, automation, or supporting semantic workflows and AI

• Strong communication skills, comfort collaborating with technical and non-technical partners

• Exposure to one or more of the following areas is a plus:

  • Collibra or other AI/ML DQ solutions

  • Data Stewardship, metadata management, data lineage, and master data management

  • Business intelligence tools and automation platforms

At Morgan Stanley Montreal, we support the Firm’s global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, data analytics, cloud engineering, cybersecurity and digital technologies. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area’s highly skilled technology talent.

All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required.

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.