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 includingAWS 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.