Senior Manager, GPS Knowledge Systems

Role Summary

Senior Manager, GPS Knowledge Systems. Part of the BI&T team supporting Global Product Development and Supply (GPS). Responsible for developing and operationalizing a comprehensive data information model to support GPS use cases, including AI deployment and self-service analytics. Partners with stakeholders to design semantic models and ontologies; requires strong expertise in semantic technologies and the ability to explain complex concepts to diverse audiences. This role helps harness technology, data, analytics and AI to transform GPS outcomes.

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.
• 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.
• Demonstrated ability to conceptualize, design, and refine ontologies to accurately model domain knowledge, entities, relationships, and rules for organizational data.
• Experience defining and managing taxonomies, classes, properties, constraints, and semantic relationships using standards such as RDF, OWL, and SKOS.
• Experience with AI systems that utilize Retrieval-Augmented Generation (RAG) and vector databases for effective information retrieval is a plus.
• Significant experience with programming languages relevant to managing data and information models (e.g., Python, Java, Scala).
• Experience with cloud environments and services, preferably AWS.
• Experience with DevOps principles for CI/CD pipelines.
• Proficiency with modern analytics tools and technologies, potentially including GitHub, SQL, R, dbt, Domino, Tableau, etc.
• Experience deploying AI models is highly desirable.
• Experience with systems using the 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 ELT and data engineering processes is a plus.
• Experience building and operationalizing predictive models, simulation, optimization frameworks, and AI solutions is a plus.
• Experience with API integration for data ingestion and extraction.
• Proven experience guiding large, complex projects.
• Strong communication skills to explain the business value of data model projects and operations.
• A customer-oriented mindset with an 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.