Senior Enterprise Data & AI Governance Engineer

Sr. Enterprise Data & AI Governance Engineer

Phillips 66 is seeking a Senior 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.

• 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.

• 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), managing priorities, and supporting multiple efforts simultaneously

• 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/4
  
  HANA or Right Angle
• 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

This position has a base salary range of $140,400 – $171,600.

• Annual Variable Cash Incentive Program (VCIP) bonus
• 8% 401(k) 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

Phillips 66 is an Equal Opportunity Employer.