Lead Engineer Data & AI Governance

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About the role

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.

Responsibilities

• 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.

Requirements

• 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.

Qualifications (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.

Pay

Base salary range: $160,200 – $195,800. Offers are determined by candidate experience, skills, and alignment with role requirements, ensuring internal equity and market competitiveness.

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.