Oxy
Advisor – Data Trust & AI Products
Houston, Texas
Sponsorship not specifiedDetected 8 days ago
PythonGitSQLDatabricksVector DatabasesAWSAzureCloud PlatformsCI/CDDevOpsMachine LearningData EngineeringLLMsRAGAgentic AIMLOpsLeadershipCommunication
About the role
- Oxy is seeking a unique technical leader who thrives at the intersection of Data Quality, Data Governance, AI Development, and Product Innovation.
- Define data quality KPIs, scorecards, and executive dashboards.
- Enable trusted, governed, and AI-ready data assets across the enterprise.
Responsibilities
- This role offers a rare opportunity to influence enterprise data strategy, build cutting-edge AI solutions, and drive transformation across the organization.
- Implement automated monitoring and controls for completeness, accuracy, consistency, and timeliness.
- Drive enterprise data classification, protection, and governance initiatives.
- Partner with business leaders and data owners to improve data quality and accountability.
- Support metadata, lineage, stewardship, and data catalog initiatives.
- Design, build, and deploy AI-powered applications, copilots, intelligent agents, and business solutions.
- Partner directly with business teams to identify opportunities where AI can drive measurable value.
- Develop GenAI solutions leveraging LLMs, RAG architectures, enterprise knowledge bases, and agentic workflows.
- Build prototypes, MVPs, and production-ready AI products that solve real business problems.
- Establish and lead enterprise data quality measurement across structured data domains.
Requirements
- 10+ years of experience in Data Management, Data Engineering, Data Governance, AI Development, or Product Engineering.
- Strong expertise in SQL, Python, and cloud-native development.
- Hands-on experience with Databricks & AWS.
- Strong understanding of enterprise data quality, governance, metadata, and data protection.
- Experience delivering products from concept through deployment and adoption.
- Experience with CI/CD pipelines, Azure DevOps, GitHub, or equivalent development platforms.
- Experience deploying AI applications in cloud environments including AWS and Azure.
- Experience implementing logging, monitoring, telemetry, and usage analytics for AI applications.
- Knowledge of security, authentication, authorization, and enterprise architecture principles.
- Experience with Microsoft Copilot Studio, Power Platform, and enterprise automation technologies.
Nice to have
- Preferred Experience
Visa & Work Authorization
- ability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law
This listing is sourced directly from Oxy's careers page and normalized into a canonical job model.