AI Product Owner
Apolisrises
1 day ago
On-site
Norfolk, Virginia, United States
$55 - $56 USD hourly
Job Title: AI Product Owner with Pharmacy Benefit Management Domain
Vendor Pay Rate: ***
Remote
1.Job title : AI Product Owner 2.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. 3.Experience : 6to8Yrs 4.Required Skills : 5.Nice to have skills : 6.Technology : -Not Applicable 7.Shift : Day 8.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. 9.Job Location : Primary :USVANOFC01 Norfolk - VA USA, CLT/RMT Alternate : , 10.Job Type : 60CW00 Business Associate 11.Demand Requires Travel? : N 12.Certifications Required : NA 13.Work Model : Hybrid 14.Sub Contractor allowed : Y
Vendor Pay Rate: ***
Remote
1.Job title : AI Product Owner 2.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. 3.Experience : 6to8Yrs 4.Required Skills : 5.Nice to have skills : 6.Technology : -Not Applicable 7.Shift : Day 8.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. 9.Job Location : Primary :USVANOFC01 Norfolk - VA USA, CLT/RMT Alternate : , 10.Job Type : 60CW00 Business Associate 11.Demand Requires Travel? : N 12.Certifications Required : NA 13.Work Model : Hybrid 14.Sub Contractor allowed : Y