Senior Manager, GPS Knowledge Systems

Role Summary

Senior Manager, GPS Knowledge Systems. Role supports GPS information modeling, AI deployment, and self-service analytics within the BI&T team. Partners closely with stakeholders to design and implement semantic models and information models using semantic technologies.

Responsibilities

• Develop information models leveraging emerging technologies to deliver business value.
• Design semantic models and data ontologies to support GPS information model and optimal AI deployment.
• Ensure adherence to SDLC and analytics best practices (scalability, version control, documentation, deployment).
• Evaluate high-ROI technologies for inclusion in the technology roadmap.
• Partner with stakeholders to capture business needs.
• Gather business requirements, define measurable outcomes, and deliver analytical product plans for diverse stakeholders.
• Translate complex concepts for various stakeholders.
• Guide large, complex projects and collaborate across functions.

Qualifications

• Required: 5+ years of progressive experience in Information Technology, data analytics, or related industries, with a proven track record of leadership and innovation.
• Required: 1+ year experience working on information model relevant workflows and/or tools: semantic model development, data ontologies, application of graph databases.
• Required: Hands-on experience with SDLC methodologies, including DevOps, Agile, and Waterfall, ideally in regulated environments.
• Preferred: Advanced degrees (MS or Ph.D.) in relevant fields.

Skills

• Experience designing, implementing, and managing graph models and related information modeling applications.
• Experience with graph platforms (e.g., Neo4j, Amazon Neptune) including model design and querying.
• Ability to conceptualize, design, and refine ontologies to model domain knowledge, entities, relationships, and rules.
• Experience defining and managing taxonomies, classes, properties, constraints, and semantic relationships using RDF, OWL, SKOS.
• Programming proficiency (e.g., Python, Java, Scala).
• Experience with cloud environments (preferably AWS) and DevOps CI/CD pipelines.
• Proficiency with analytics tools (GitHub, SQL, R, dbt, Domino, Tableau, etc.).
• Experience deploying AI models and working with Model Context Protocol (MCP) is a plus.
• Strong communication skills to explain business value of data model projects and operations.
• Customer-oriented mindset and ability to work in a matrixed, global environment.

Education

• A bachelor's degree in a quantitative or scientific discipline is required.
• Advanced degrees (MS or Ph.D.) in relevant fields are preferred.

Additional Requirements

• Occasional travel to BMS locations worldwide is anticipated.