Senior Enterprise Data & AI Governance Engineer

Phillips 66 • Bartlesville, OK

2d • $140,400 - $171,600

About The Position

Phillips 66 is seeking a Sr. Enterprise Data & AI Governance Engineer to build and scale the technical foundation of our enterprise data governance program. This role plays a critical part in enabling high-quality, trusted data and AI readiness across the organization by combining hands-on engineering with governance practices. You will work across technical and business teams to implement scalable solutions, improve data reliability, and support decision-making through well-governed data products.

Requirements

• Legally authorized to work in the job posting country
• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field
• 3 or more years of experience in data engineering, analytics engineering, data management, or business intelligence
• 3 or more years of experience with Python, SQL, Databricks, and Data Visualization tools
• 1 or more years of experience with full stack development
• 3 or more years communicating effectively across teams (technical and non-technical), manage priorities, and support multiple efforts simultaneously

Nice To Haves

• Experience in the energy industry or with enterprise-scale data environments
• Experience implementing data governance frameworks, data quality standards, and data architecture practices
• Experience with data catalog tools such as Unity Catalog, Alation, or Collibra
• Experience with Prompt engineering
• Experience working with knowledge graphs and semantic layer models
• Familiarity with AI governance, data lineage, and responsible AI practices
• Experience with Jira, ADO, or similar tools for workflow and program tracking
• Hands-on experience with Databricks Genie or natural language query tools
• Knowledge of enterprise systems such as SAP S/4HANA or RightAngle
• Relevant certifications in data engineering, cloud platforms, or governance frameworks
• Ability to manage multiple priorities and solve complex data-related problems
• Strong communication skills with the ability to convey technical concepts to diverse audiences

Responsibilities

• Build, maintain, and enhance governance infrastructure, including readiness scoring engines, certification dashboards, intake workflows, and automated monitoring systems to ensure data product health and scalability.
• Collaborate with stakeholders to align data architecture, standards, and data quality practices while managing key components of the data management system and supporting enterprise data warehouse environments.
• Design and implement data pipelines, dashboards, and reporting solutions to deliver accurate, timely insights for a variety of audiences.
• Configure and manage metadata, data catalog entries, and data quality rules across data products and platforms.
• Perform readiness assessments, identify gaps, and partner with data owners to drive remediation and certification readiness.
• Analyze current and future state processes, conduct gap analysis, and recommend improvements to governance workflows and data architecture.
• Provide technical guidance, troubleshoot performance issues, and support testing activities to maintain system reliability.
• Ensure data integrity, security, and compliance with enterprise data governance and business intelligence standards.

Benefits

• Annual Variable Cash Incentive Program (VCIP) bonus
• 8% 401k company match
• Cash Balance Account pension
• Medical, Dental, and Vision benefits with an annual company contribution to a Health Savings Account for employees on HDHP
• Total well-being programs and incentives, including Employee Assistance Plan, well-being reimbursement, and backup family care services

What This Job Offers

• Job Type: Full-time
• Career Level: Senior