Senior Manager, GPS Knowledge Systems

Role Summary

Senior Manager, GPS Knowledge Systems responsible for developing and operationalizing a comprehensive data information model to support GPS use cases, including AI deployment and self-service analytics. Partner with stakeholders to design and implement semantic models, with strong expertise in semantic technologies and ability to explain complex concepts to diverse audiences.

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

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

Technical Skills

• Experience designing, implementing, and managing graph models and, ideally, applications related to information modeling.
• 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, and SKOS.
• Experience with programming languages such as Python, Java, Scala.
• Experience with cloud environments, preferably AWS.
• Experience with DevOps CI/CD pipelines.
• Proficiency with analytics tools (GitHub, SQL, R, dbt, Domino, Tableau, etc.).
• Experience deploying AI models is highly desirable.
• Experience with Model Context Protocol (MCP) to interact with AI models is highly desirable.
• Hands-on experience with agile methodologies and tools such as JIRA.
• Experience with API integration for data ingestion and extraction.
• Strong communication skills to explain business value of data model projects and operations.
• Customer-oriented mindset with eagerness to solve business problems and drive continuous improvement.
• Ability to work effectively in a matrixed organization and across global locations.

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 throughout the world is anticipated.