Product Owner

Job Title: AI Product Owner with Pharmacy Benefit Management Domain
Location: Norfolk - VA - Remote
Job summary :
Serve as a Product Owner specializing in ontology and semantic modeling for artificial intelligence to design, govern, and optimize spatial data assets on Databricks platforms in a hybrid work model. Collaborate with AI and BI teams to deliver accurate map driven insights that improve decisions across global markets and create positive outcomes for customers and communities.
Responsibilities :
-Design comprehensive geospatial ontologies that accurately represent locations, networks, and spatial relationships to support advanced artificial intelligence and business intelligence use cases across multiple domains.
-Develop semantic models that unify geospatial, transactional, and reference data into a consistent knowledge layer that improves accuracy and interpretability of AI driven analytics.
-Implement and maintain geospatial data pipelines on Databricks using Unity Catalog to ensure strong governance, lineage tracking, and reusable data products for mapping and spatial analysis.
-Optimize data structures, partitioning strategies, and query logic on Databricks to deliver performant spatial analytics for large scale datasets across markets and business functions.
-Create geospatial feature datasets and semantic layers that can be consumed by AI and BI Genie tools to enable self service insights for analysts and business partners.
-Collaborate with data scientists, data engineers, and mapping specialists to translate geospatial business requirements into semantic models and ontology structures that can be operationalized in production.
-Define and document standards for geospatial data quality, metadata, and semantic definitions to ensure consistent interpretation and reuse across projects and regions.
-Build curated geospatial datasets that align with privacy, compliance, and ethical use requirements while still enabling innovative artificial intelligence driven spatial solutions.
-Analyze existing map based workflows and reports to identify semantic gaps, harmonize location related dimensions, and reduce duplication of geospatial logic across teams.
-Partner with product and operations stakeholders to design spatial metrics and geocoding strategies that directly improve customer experience, resource allocation, and societal impact outcomes.
-Develop validation and reconciliation processes that compare semantic models with ground truth data and external geospatial sources to continuously improve reliability.
-Produce clear technical documentation, semantic dictionaries, and usage guidelines that help downstream users understand and correctly apply geospatial ontologies and models.
-Guide peers in adopting Databricks Unity Catalog capabilities for cataloging, securing, and sharing geospatial assets in a governed and auditable manner.
-Participate in code reviews, design discussions, and model assessment sessions to ensure that semantic structures remain scalable, maintainable, and aligned with enterprise standards.
-Engage with user groups and support channels to troubleshoot issues in map based analytics, identify semantic model enhancements, and prioritize backlog items that deliver the greatest value.
-Coordinate with platform teams to evaluate new Databricks features and geospatial libraries and to integrate them into existing patterns where they add measurable benefit.
-Contribute to continuous improvement initiatives that reduce manual geospatial data preparation steps and increase the speed at which new map based insights reach decision makers.
Qualifications
-Combine six to eight years of experience in geospatial analytics or spatial data engineering with a strong track record of applying ontology and semantic modeling techniques in production environments.
-Apply extensive hands on experience with Databricks platforms and Unity Catalog to design secure, discoverable, and well governed data and semantic layers for geospatial use cases.
-Demonstrate advanced proficiency in artificial intelligence and business intelligence use cases using AI and BI assistant tools to accelerate exploration of geospatial patterns and map based insights.
-Leverage strong skills in spatial data processing, geocoding, coordinate reference systems, and spatial joins to construct robust semantic layers that support diverse downstream models.
-Use solid experience in SQL, data modeling concepts, and analytics best practices to design semantic structures that are efficient, explainable, and easy for analysts to adopt.
-Exhibit excellent communication, documentation, and stakeholder collaboration capabilities to translate complex geospatial and semantic concepts into language that non technical partners can act upon.
-Showcase a passion for ethical and inclusive data use with an emphasis on geospatial solutions that improve accessibility, sustainability, and equitable outcomes for communities served by the company.

Work arrangement
No