Responsible AI Lead

Cayuse Holdings•Austin, TX

7d•Hybrid

About The Position

The Responsible AI Lead will establish and operationalize the organization’s approach to Responsible AI and AI governance across internally developed and third-party AI solutions. The role is responsible for ensuring AI systems are deployed ethically, effectively, and safely by designing and implementing frameworks, processes, and controls that support enterprise adoption and innovation. It will use proactive risk management and alignment with ethical and regulatory standards to make Responsible AI a driver of business success. The role reports to the VP of Data & AI and collaborates across multiple business units. It is an independent contract position based in Austin, Texas, with a hybrid work model and regular on-site collaboration. The stated pay rate is $80–$100 per hour, and the start date is ASAP.

Requirements

Proven experience designing and implementing Responsible AI or data/model governance frameworks.
Strong understanding of AI risks, including bias, transparency, privacy, model drift, and operational resilience.
Familiarity with legal and regulatory frameworks such as GDPR and the EU AI Act, and ability to translate them into actionable policies and controls.
Experience embedding governance practices into operational routines such as SDLC and change management.
Ability to align cross-functional teams and manage complex initiatives.
Strong communication skills with technical and business audiences.
Deep familiarity with AI/ML technologies, risk management principles, and assessment methods.

Nice To Haves

Experience implementing governance or compliance programs in a highly regulated industry, such as finance or healthcare.
Certifications or training in AI ethics, governance, or compliance.
Public thought leadership in Responsible AI.
Master’s degree in Data Science, Risk Management, or a related discipline.

Responsibilities

Develop, implement, and manage an AI governance framework covering the full AI lifecycle, from intake and design through development or purchase, testing, deployment, monitoring, and retirement.
Monitor evolving laws, regulations, and standards, including the EU AI Act and GDPR, and incorporate them into internal policies, controls, and processes.
Define ownership, accountability, and decision-making processes for enterprise AI adoption.
Embed AI governance into operational processes such as the SDLC, vendor management, model validation, privacy reviews, and security reviews.
Lead AI risk assessments, audits, and impact analyses to identify, document, and mitigate ethical, regulatory, operational, and reputational risks.
Provide leadership with visibility into the AI inventory, risk posture, performance, operational stability, and remediation progress, along with actionable insights.
Collaborate with business, compliance, legal, IT, and other cross-functional teams to support responsible AI design, deployment, and monitoring.
Evaluate AI use cases and vendor solutions, providing readiness evaluations and risk acceptance recommendations.
Develop standards, guidelines, training programs, and practical tools to support responsible AI governance.
Translate complex requirements into actionable frameworks and processes for consistent governance and risk management.
Align Responsible AI frameworks and initiatives with business strategies.
Communicate guidance to technical and non-technical stakeholders to support collaboration and decision-making.