Senior AI Governance Engineer
Xcel EnergyDenver, CO
Full Time
Posted November 11, 2026
$98k - $159k
Apply Now
Application opens on company website
Listing evidence and provenance
- Source
- Workday View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed November 12, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Utilities
- Pay provenance
- Employer-provided pay
Job Description
Connected, Committed, Trustworthy, Safe
Key Responsibilities
- This position designs, builds, and owns the technical capabilities that operationalize enterprise AI governance, spanning AI controls and risk assessments, implementation guidance, and working across Security, Architecture, Privacy, Legal, and Data Science teams. Working independently across multiple data domains, this role translates governance policy and regulatory requirements into enforceable technical controls, establishes the engineering patterns other team members follow, and serves as a technical resource to less experienced colleagues.
- Data Quality Engineering: Design and implement data quality frameworks, rule sets, and scoring methodologies across multiple data domains, including measurement approaches for accuracy, completeness, timeliness, validity, consistency, and uniqueness. Define the remediation workflow and escalation model.
- Metadata and Catalog Engineering: Design and implement metadata and lineage capture automation spanning source systems, transformation layers, and consumption assets. Define harvesting strategy, integration approach, and the binding model between business glossary and physical assets.
- Data Classification and Protection Engineering: Develop classification and access control patterns, including attribute-based access control policies, tagging automation, and dynamic masking within the enterprise data platform. Partner with cyber security on control design and evidence.
- Solution Design and Technical Standards: Develop reusable governance components, libraries, and APIs, and establish the engineering patterns applied by other members of the team. Solve complex data management problems where existing approaches are insufficient, taking a new perspective on established solutions. Evaluate tooling and recommend platform capability, configuration, and integration approaches.
- Technical Leadership and Mentorship: Act as a technical resource and mentor to less experienced engineers. Review work products and provide guidance on standards, design, and troubleshooting. Lead technical workstreams within governance programs, including effort scoping, delivery sequencing, and progress reporting.
- Stakeholder Partnership: Partner with data owners, data stewards, platform engineering, enterprise architecture, and cyber security to translate governance policy into enforceable technical controls. Communicate technical design and trade-offs to non-technical stakeholders.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or an equivalent combination of education and experience.
- Five or more years of experience in data management, data engineering, or data governance engineering.
- Advanced SQL proficiency and demonstrated proficiency in Python.
- Demonstrated experience implementing at least one enterprise data management capability end to end, such as data quality, metadata and catalog, master data, or data access control.
- Demonstrated ability to design technical solutions independently and defend design decisions to technical and business stakeholders, including experience working across multiple data domains or business functions.
- Experience implementing controls in a SOX, NERC CIP, or privacy-regulated environment. Gas and/or Electric Utility Industry experience preferred.
- Certifications such as IAPP AIGP (AI Governance Professional), CIPP/CIPM, CDMP (data management), or CISA/CRISC.
- 5–7 years or more in data governance, AI/ML risk, model risk management, IT compliance or audit.
- At least 2 years working directly with AI/ML or generative AI systems, such as model reviews, use-case intake or risk assessments.
- Experience in a regulated industry like utilities, energy. Familiarity with NERC CIP, FERC or state public utility commission oversight is especially valuable.
- Hands-on use of the NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001 and 23894, and model risk guidance such as SR 11-7.
- Working knowledge of the EU AI Act, U.S. state AI laws (for example, Colorado), and privacy rules like CCPA and GDPR.
- Understanding of responsible AI principles: fairness, transparency, explainability, accountability, privacy and safety.
- Our culture is grounded in shared values and employee commitments that guide how we work, support one another, and grow together.
Ready to Apply?
Apply directly on Xcel Energy's site
Get new power and energy jobs weekly
New jobs across data centers, grid, nuclear, storage, generation, and renewables. One email a week.
Job Alerts
Get alerts for jobs like this one
More at Xcel Energy
Similar Jobs
More jobs at Xcel Energy
Similar jobs in Utilities
SI
More jobs in Denver, CO
SI
