Senior AI Governance Engineer

Xcel Energy

. Design, build, and own technical capabilities that operationalize enterprise AI governance .

Posted 11/11/2026full-timeUnited StatesSenior💰 $97,600 - $159,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing enterprise AI governance frameworks, data quality controls, and metadata management strategies. Proficient in advanced SQL and Python, with a strong background in data governance and compliance within regulated industries.

Highest-signal resume keywords

Advanced SQL ProficiencyPython ProficiencyData Governance EngineeringExperience in Regulated IndustryAI/ML Systems Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManagementData EngineeringData GovernanceData Quality FrameworksMetadata ManagementAccess Control PoliciesRisk AssessmentsAI GovernanceControl DesignData Classification

Soft Skills

MentoringCommunicationProblem-SolvingCollaborationLeadership

Tools & Technologies

NIST AI Risk Management FrameworkISO/IEC 42001ISO/IEC 23894SOX ComplianceNERC CIP Compliance

Certifications & Qualifications

IAPP AIGPCIPP/CIPMCDMPCISACRISC

Industry Keywords

Gas UtilityElectric UtilityRegulated IndustryPrivacy RegulationsEU AI ActU.S. State AI LawsCCPAGDPRModel Risk ManagementIT Compliance

Tech Stack

Tools & technologies

Cyber SecurityPythonSQL

About the role

Key responsibilities & impact

Design, build, and own technical capabilities that operationalize enterprise AI governance
Develop AI controls and risk assessments and provide implementation guidance
Design and implement data quality frameworks, rule sets, scoring methodologies, remediation workflows, and escalation models
Design and implement metadata and lineage capture automation across source systems, transformation layers, and consumption assets
Define metadata harvesting strategies, integration approaches, and business glossary-to-physical-asset binding models
Develop data classification and access control patterns, including attribute-based access control policies, tagging automation, and dynamic masking
Partner with cybersecurity on control design and evidence
Develop reusable governance components, libraries, and APIs
Establish engineering patterns for team members
Evaluate tooling and recommend platform capabilities, configurations, and integration approaches
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, including effort scoping, delivery sequencing, and progress reporting
Partner with data owners, data stewards, platform engineering, enterprise architecture, and cybersecurity
Translate governance policy into enforceable technical controls
Communicate technical designs and trade-offs to non-technical stakeholders

Requirements

What you’ll need

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
Demonstrated proficiency in Python
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
Ability to design technical solutions independently and defend design decisions to technical and business stakeholders
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, CIPP/CIPM, CDMP, 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
Experience in a regulated industry like utilities or energy
Familiarity with NERC CIP, FERC, or state public utility commission oversight
Hands-on use of 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, CCPA, and GDPR
Understanding of responsible AI principles: fairness, transparency, explainability, accountability, privacy, and safety

Benefits

Comp & perks

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
Hybrid work model supporting collaboration and flexibility