Senior AI Governance Engineer

Xcel Energy (NASDAQ: XEL) is a leading energy provider and Fortune 500 company, dedicated to serving millions of electricity and natural gas customers across eight states: Minnesota, Colorado, Wisconsin, Michigan, North Dakota, South Dakota, New Mexico and Texas. We make energy work better for our customers, helping them thrive every day. That means always raising the bar - delivering better service and providing more reliable, resilient, and sustainable energy.

Xcel Energy is a place where you’ll have opportunities to grow, expand your skills, and help lead the clean energy transition. We offer meaningful rewards, recognition, and support to help you build your career and make an impact - both on the job and beyond. Most importantly, it means you’ll be joining a company that knows employees are the driving force behind its success and is committed to helping you be your best.

Xcel Energy supports a hybrid work model to enable collaboration and flexibility. Many roles are expected to work onsite three days per week (Tuesday–Thursday); however, work location expectations vary based on role, team, and business needs.

Position Summary

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.

Essential Responsibilities

- 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.

Minimum 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.

Preferred Qualifications

- 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.

Our Values

Connected, Committed, Trustworthy, Safe

Our Employee Commitments

- Work that makes a difference
- A team you can count of
- Opportunities to grow
- Rewards that help you thrive

Xcel Energy provides job applicants reasonable accommodations for disabilities throughout the application process. If you are in need of an accommodation to complete the application process, now or at any time in the future, please complete the  Applicant Accommodation Request Form .

Non-Bargaining
The anticipated starting base pay for this position is: $97,600.00 to $159,100.00 per year
This position is eligible for the following benefits: Annual Incentive Program, Medical/Pharmacy Plan, Dental, Vision, Life Insurance, Dependent Care Flexible Spending Account, Health Care Flexible Spending Account, Health Savings Account (HSA) (if enrolled in eligible health plan), Limited-Purpose FSA (if enrolled in eligible health plan and HSA), Transportation Reimbursement Account, Short-term disability (STD), Long-term disability (LTD), Employee Assistance Program (EAP), Fitness Center Reimbursement (if enrolled in eligible health plan), Tuition reimbursement, Transit programs, Employee recognition program, Pension, 401(k) plan, Paid time off (PTO), Holidays, Volunteer Paid Time Off (VPTO), Parental Leave

Benefit plans are subject to change and Xcel Energy has the right to end, suspend, or amend any of its plans, at any time, in whole or in part.

In any materials you submit, you may redact or remove age-identifying information including but not limited to dates of school attendance and graduation.   You will not be penalized for redacting or removing this information.

Deadline to Apply: 11/24/26

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All Xcel Energy employees and contractors share responsibility for protecting the company's information and systems by adhering to cybersecurity policies, standards, and best practices, recognizing that cybersecurity is everyone's responsibility.

Accessibility Statement

Xcel Energy endeavors to make https://www.xcelenergy.com and https://jobs.xcelenergy.com accessible to any and all users. If you are in need of an accommodation to complete the application process, now or at any time in the future, please complete the Applicant Accommodation Request Form . For any other application related questions, including application follow-ups or technical issues, please use our Recruiting Assistance, Electra, for assistance. Electra can be found in the lower right-hand corner of our Xcel Energy Careers site.