AI Product Owner with Pharmacy Benefit Management Domain

Job Title: AI Product Owner with Pharmacy Benefit Management Domain
Location: Remote

Only W2 (No C2C)

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.

Experience: 6to8Yrs
Shift: Day

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.