> Markdown version of [/jobs/ext/1400663-lead-engineer-data-ai-governance](https://www.wearedevelopers.com/jobs/ext/1400663-lead-engineer-data-ai-governance). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Engineer Data & AI Governance - **Company:** Phillips 66 - **Location:** Houston, TX, United States - **Experience:** Expert - **Salary:** $160,200.0 - $195,800.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Information Systems, Data Architecture, Information Engineering, Data Governance, Graph Database, Identity and Access Management, Python (Programming Language), Machine Learning, Meta-Data Management, Operational Data Store, Software Engineering, SQL Databases, Enterprise Data Management, Prompt Engineering, Data Strategy, Information Technology, Data Analytics, Data Management, Machine Learning Operations, Databricks - **Published:** July 23, 2026 - **Apply:** https://www.juju.com/job/00000000gil1x7 ## About the Role + 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 DevOps, 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, Candidates for regular U.S. positions must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a) or 1255(a)(1). Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. ## Description 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. ## Related Videos - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Big Business, Big Barriers? 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