Lead Engineer Data & AI Governance
About The Position
Phillips 66 is seeking a Lead Data & AI Governance Engineer to lead the development of governance policies, standards, control frameworks, and operating models required to enable reliable AI-driven access to data within our Enterprise Data Platform. This role is responsible for establishing enterprise governance frameworks, defining accountability structures, and driving strategic alignment across business, IT, Enterprise Architecture, SAP, ETRM, Enterprise MDM, Information Security, and platform engineering teams. The successful candidate will help translate governance objectives into practical enterprise standards, controls, roadmaps, and operating processes that ensure Enterprise Data Platform assets are discoverable, understandable, trustworthy, and fit for AI-driven use.
Requirements
- Legally authorized to work in the job posting country.
- Bachelor’s degree in Computer Science, 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.
Nice To Haves
- Experience leading enterprise data governance programs within large or regulated organizations.
- Experience implementing Data Quality and Stewardship frameworks.
- Experience with Enterprise MDM, Master Data, or Reference Data initiatives.
- Experience working with SAP and ETRM platforms.
- Experience with Databricks Unity Catalog, Genie, Metric Views, and Semantic Modeling.
- Experience supporting AI-enabled analytics and enterprise data consumption.
- Background in energy, manufacturing, logistics, or other asset-intensive industries.
Responsibilities
- Lead development of governance policies, standards, frameworks, and operating models supporting Enterprise Data Platform Governance.
- Establish governance metrics, certification criteria, accountability models, and compliance monitoring processes.
- Define governance requirements for metadata, data quality, stewardship, data modeling, and AI readiness.
- Drive governance adoption through stakeholder engagement, training, communications, and change management.
- Establish enterprise frameworks for Data Quality, Data Stewardship, Data Certification, Data Lineage, Data Observability, Compliance Monitoring.
- Define enterprise baseline data quality requirements and control standards.
- Establish stewardship responsibilities, escalation paths, and issue-resolution processes.
- Define Enterprise Data Platform standards for Data Modeling, Naming Conventions, Common Identifiers, Units of Measure, Dataset Linking, Semantic Modeling, Metadata Management.
- Define governance requirements for Business Context Metadata, Data Discovery Metadata, and Data Model Metadata.
- Partner with SAP, ETRM, Enterprise MDM, Enterprise Architecture, and platform engineering teams to assess opportunities for reusable enterprise data foundations.
- Define long-term strategies for shared datasets, reference data, master data, standardized hierarchies, and cross-domain interoperability.
- Develop roadmap recommendations that improve data reuse, integration, analytics, and AI-driven access across the Enterprise Data Platform.
- Partner with Information Security and appropriate enterprise stakeholders to define governance requirements for Data Classification, Access Control, Retention & Archival, Regulatory Compliance.
- Ensure governance controls align with enterprise policies and compliance requirements.
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
