Advisor – Data Trust & AI Products

Oxy; Houston (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Oxy, headquartered in Houston, seeks an Advisor – Data Trust & AI Products to lead data quality and governance while building AI-powered products that unlock measurable business value. The role focuses on 50% enterprise data quality initiatives and 50% AI product development, copilots, and knowledge-driven solutions.

You will shape Oxy's AI future by ensuring trusted, protected, and AI-ready data assets across the organization, partnering with stakeholders to drive enterprise transformation.

Qualifications

• 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.
• Experience developing AI solutions using LLMs, RAG, vector databases, AI agents, or enterprise AI platforms.
• Strong understanding of enterprise data quality, governance, metadata, and data protection.
• Experience delivering products from concept through deployment and adoption.
• Ability to work directly with business stakeholders to identify opportunities and rapidly build solutions.
• Experience with CI/CD pipelines, Azure DevOps, GitHub, or equivalent development platforms.
• Experience deploying AI applications in cloud environments including AWS and Azure.
• Understanding of MLOps practices including model lifecycle management, monitoring, observability, and performance optimization.
• Experience implementing logging, monitoring, telemetry, and usage analytics for AI applications.
• Knowledge of security, authentication, authorization, and enterprise architecture principles.

Responsibilities

• Establish and lead enterprise data quality measurement across structured data domains.
• Define data quality KPIs, scorecards, and executive dashboards.
• 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.
• Enable trusted, governed, and AI-ready data assets across the enterprise.
• 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.
• Integrate enterprise data sources into AI applications while ensuring governance and security requirements are met.
• Evaluate emerging AI technologies and drive innovation across the enterprise.
• Translate business challenges into scalable AI products and solutions.

Skills

SQL

Python

Cloud-native dev

MLOps

CI/CD

Security & governance

Tools

Databricks

AWS

Azure

Job description

Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower‑carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit Oxy.

Advisor – Data Trust & AI Products

Job Summary

Are you passionate about building AI‑powered products that transform how people work while ensuring the data behind them is trusted, protected, and business‑ready? Oxy is seeking a unique technical leader who thrives at the intersection of Data Quality, Data Governance, AI Development, and Product Innovation. This highly visible role will spend approximately 50% of its time driving enterprise data quality and data trust initiatives and 50% building AI‑powered products, copilots, intelligent agents, and data‑driven solutions that create measurable business value. You will play a critical role in shaping Oxy's AI future by ensuring our data is trusted, protected, and AI‑ready while simultaneously developing innovative products that leverage that foundation. This role offers a rare opportunity to influence enterprise data strategy, build cutting‑edge AI solutions, and drive transformation across the organization.

What You'll Work On

Data Trust & Enterprise Data Quality

• Establish and lead enterprise data quality measurement across structured data domains.
• Define data quality KPIs, scorecards, and executive dashboards.
• 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.
• Enable trusted, governed, and AI‑ready data assets across the enterprise.
• Support metadata, lineage, stewardship, and data catalog initiatives.

AI Product Development & Innovation

• 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.
• Integrate enterprise data sources into AI applications while ensuring governance and security requirements are met.
• Evaluate emerging AI technologies and drive innovation across the enterprise.
• Translate business challenges into scalable AI products and solutions.

Required Qualifications

• 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.
• Experience developing AI solutions using LLMs, RAG, vector databases, AI agents, or enterprise AI platforms.
• Strong understanding of enterprise data quality, governance, metadata, and data protection.
• Experience delivering products from concept through deployment and adoption.
• Ability to work directly with business stakeholders to identify opportunities and rapidly build solutions.
• Experience with CI/CD pipelines, Azure DevOps, GitHub, or equivalent development platforms.
• Experience deploying AI applications in cloud environments including AWS and Azure.
• Understanding of MLOps practices including model lifecycle management, monitoring, observability, and performance optimization.
• Experience implementing logging, monitoring, telemetry, and usage analytics for AI applications.
• Knowledge of security, authentication, authorization, and enterprise architecture principles.

Preferred Experience

• Experience building enterprise copilots, knowledge assistants, or conversational AI solutions.
• Experience with Microsoft Copilot Studio, Power Platform, and enterprise automation technologies.
• Experience building AI solutions using enterprise data platforms such as Databricks.
• Experience leveraging enterprise data catalogs, metadata, lineage, and governance capabilities within AI solutions.
• Experience working with structured and unstructured data at enterprise scale.

All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability 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.