Lead Engineer Data & AI Governance Job Houston area,Texas USA,IT/Tech

Phillips 66 & YOU - Together we can fuel the future

We are seeking a Lead Engineer, Data & AI Governance
, to serve as a technical lead and subject matter expert supporting the development, implementation, and continuous improvement of enterprise data and AI governance capabilities. This role combines hands-on technical expertise with the ability to lead delivery efforts, guide engineering teams, and collaborate with business and technical stakeholders to establish trusted, well-governed data and AI assets across the enterprise. The successful candidate will help translate enterprise governance strategies into scalable technical solutions and operational processes.

What You’ll Do

Collaborate with business and technical stakeholders to translate complex requirements into scalable data governance and platform solutions.
Ensure alignment with organizational goals and enterprise data strategy.
Lead and contribute to the design and implementation of enterprise data governance frameworks, including:

Data ownership and stewardship
Access controls and security
Metadata management and lineage
Data quality and certification

Drive adoption of governance processes through stakeholder engagement, training, and change management initiatives.
Support compliance efforts and continuous improvement of governance capabilities.
Contribute to the implementation of data architecture practices that transform raw and operational data into meaningful business insights.
Enhance data discoverability, usability, and accessibility across the enterprise.
Design and implement governance capabilities within platforms such as Databricks Unity Catalog.
Establish and maintain standards for data organization, naming conventions, and access management.
Build and manage metadata structures to support discoverability and governance.
Support advanced data analysis, reporting, and modeling to enable business decision-making and insight generation.
Identify opportunities for innovation and evaluate emerging technologies and trends.
Recommend and implement enhancements to improve data quality, security, and platform performance.
Lead or contribute to cross-functional projects and manage competing priorities effectively.
Support the development of data-driven and AI-enabled solutions.
Promote safe, ethical, and responsible use of data and AI technologies.

What You’ll Bring – Required

Legally authorized to work in the job posting country.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
6+ years of experience in data governance, data management, data architecture, data engineering, or related disciplines.
3+ years’ experience implementing governance capabilities within enterprise data platforms.
3+ years of hands-on experience with Databricks, Unity Catalog, Genie, Python, and SQL.
1+ years’ experience working with knowledge graphs, semantic models, business glossaries, ontologies, or related contextualization technologies.

What Makes You Stand Out – Preferred

Master’s degree in Computer Science, Engineering, Information Systems, or a related field
Background in energy, manufacturing, logistics, or other asset-intensive industries
Experience implementing data governance programs within large or regulated organizations.
Experience with machine learning lifecycle management or MLOps practices
Familiarity with AI governance and responsible AI practices.
Hands-on experience with cloud platforms such as Azure, AWS, or GCP
Familiarity with Agile delivery, Azure Dev Ops, or CI/CD methodologies
Experience with full-stack or end-to-end data and application development
Experience supporting AI-enabled data tools or prompt engineering best practices

Compensation Range

This position has a base salary range of $160,200 – $195,800.

At Phillips 66, we are committed to pay transparency and competitive, equitable compensation. Each role is assigned a salary grade with a defined pay range, benchmarked against industry peers. Where a candidate offer falls within the posted range depends on the candidate s experience, skills, and alignment with the role’s requirements. Offers are made to ensure internal equity and market competitiveness.

Our…