Morgan Stanley Logo

Morgan Stanley

Data Governance Context Specialist (Hybrid)

Posted 3 Days Ago
Be an Early Applicant
Hybrid
Montréal, QC, CAN
Senior level
Hybrid
Montréal, QC, CAN
Senior level
The role involves designing, evolving, and operationalizing semantic models and knowledge graphs, ensuring semantic consistency and collaboration with partners to improve data integration and analytics.
The summary above was generated by AI

We are seeking a Data Governance Context Specialist 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 opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.

Top Skills

Knowledge Graphs
Neo4J
Ontology Development
Owl
Python
Rdf
Rdfs
Semantic Modeling

Morgan Stanley Montréal, Québec, CAN Office

700 Wellington St, Montréal, Quebec, Canada, H3C 3S4

Similar Jobs

5 Minutes Ago
In-Office or Remote
CA
Mid level
Mid level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
As an ASIC Validation Engineer, you'll bridge custom mining silicon design and operation, debugging issues, developing test infrastructure, and validating functionality with ASIC designers.
Top Skills: AsicFpgaI2CJtagLogic AnalyzersOscilloscopesPower SuppliesPythonSpiUart
5 Minutes Ago
In-Office or Remote
CA
Senior level
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The role involves driving sales by sourcing leads and closing deals with restaurant owners, focusing on integrated, omnichannel solutions. Responsibilities include conducting prospecting calls, managing the sales cycle, and achieving monthly sales goals, while collaborating with various teams.
Top Skills: Salesforce
5 Minutes Ago
In-Office or Remote
CA
Entry level
Entry level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Business Development Rep Associate will reach out to prospective sellers using cold calling and email to promote Square's services, manage a sales pipeline, and promote career growth within the sales team.

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account