Responsible AI Lead

Cayuse Holdings

. Establish and operationalize the organization's approach to Responsible AI and AI governance .

Posted 10/30/2026contractAustin • Texas • United StatesSenior💰 $80 - $100 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in establishing and operationalizing Responsible AI frameworks, integrating governance practices into the AI lifecycle, and ensuring compliance with evolving legal and regulatory standards. Capable of leading cross-functional collaboration and effectively communicating complex AI governance concepts to diverse stakeholders.

Highest-signal resume keywords

Responsible AI Framework DevelopmentAI Governance ImplementationRisk Management PrinciplesGDPR FamiliarityAI/ML Technologies Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Governance FrameworksRisk AssessmentsModel ValidationOperational ResilienceBias and Transparency ManagementChange ManagementCompliance ProgramsData ScienceAI EthicsImpact Analyses

Soft Skills

Effective CommunicationCross-Functional Team AlignmentProfessional DemeanorStakeholder GuidanceComplex Initiative Management

Tools & Technologies

SDLCVirtual Communication ToolsGovernance ToolsAI Vendor SolutionsTraining Programs

Certifications & Qualifications

AI Ethics CertificationGovernance TrainingCompliance Certification

Industry Keywords

GDPREU AI ActHighly Regulated IndustryAI Risk ManagementOperational Stability

Tech Stack

Tools & technologies

SDLC

About the role

Key responsibilities & impact

Establish and operationalize the organization's approach to Responsible AI and AI governance
Develop, implement, and manage the AI governance framework across the entire AI lifecycle
Monitor and incorporate evolving laws, regulations, and standards into internal policies, controls, and processes
Define ownership, accountability, and decision-making processes for AI adoption
Embed AI governance into SDLC, vendor management, model validation, privacy, and security reviews
Lead AI risk assessments, audits, and impact analyses
Provide visibility into AI inventory, risk posture, performance, operational stability, and remediation progress
Collaborate with business, compliance, legal, IT, and other cross-functional teams
Evaluate use cases and AI vendor solutions and provide readiness evaluations and risk acceptance recommendations
Develop standards, guidelines, training programs, and practical governance tools
Translate complex requirements into actionable frameworks and processes
Align Responsible AI frameworks and initiatives with business strategies
Provide communication and guidance to technical and non-technical stakeholders
Report to the VP of Data & AI

Requirements

What you’ll need

Proven experience designing and implementing Responsible AI or data/model governance frameworks
Strong understanding of bias, transparency, privacy, model drift, and operational resilience risks
Familiarity with legal and regulatory frameworks such as GDPR and the EU AI Act
Experience embedding governance practices into operational routines such as SDLC and change management
Ability to align cross-functional teams and manage complex initiatives
Ability to communicate effectively with technical and business audiences
Deep familiarity with AI/ML technologies, risk management principles, and assessment methods
Experience implementing governance or compliance programs in a highly regulated industry (preferred)
Certifications or training in AI ethics, governance, or compliance (preferred)
Public thought leadership in Responsible AI (preferred)
Master’s degree in Data Science, Risk Management, or a related discipline (preferred)
Professional demeanor required for interactions within and outside the organization
Frequent use of computer systems and virtual communication tools

Benefits

Comp & perks

Hybrid work model with regular on-site collaboration
Flexibility for adjusted schedules, overtime, and occasional weekend/evening hours