Lead Data & Analytics Engineer - VP

Morgan Stanley • New York, NY

120d • $150,000 - $210,000

About The Position

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 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, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper and easier.

Requirements

• Experience and expertise in W3C compliant semantic models experience (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 audience

Nice To Haves

• Proficient in Python, Java, Jscript or other programming languages
• Experience in utilizing ontology in developing natural language processing solutions
• Experience utilizing graph data in a machine learning environment tools
• 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

Responsibilities

• 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
• Develop processes and procedures to integrate taxonomies into the knowledge graph environment
• Collaborate 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
• 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

Benefits

• Comprehensive employee benefits and perks
• Opportunities for career advancement within the company
• Support for employees and their families at every point along their work-life journey

What This Job Offers

• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees