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About the Role
The Responsible AI Lead will establish and operationalize the organization's approach to Responsible AI and AI governance across both internally developed and third-party AI solutions. This leader will ensure AI systems are deployed ethically, effectively, and safely by designing and implementing frameworks, processes, and controls to support enterprise adoption and innovation. This role will transform Responsible AI into a driver of business success through proactive risk management and organizational alignment with ethical and regulatory standards. This role reports to the VP of Data & AI and requires collaboration across multiple business units.
Responsibilities
- 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 clear ownership, accountability, and decision-making processes for AI adoption across the enterprise.
- Embed AI governance into existing operational processes, such as SDLC, vendor management, model validation, privacy, and security reviews.
- Lead AI risk assessments, audits, and impact analyses to identify, document, and mitigate ethical, regulatory, operational, and reputational risks.
- Provide comprehensive visibility into the organization's AI inventory, risk posture, performance, operational stability, and remediation progress.
- Collaborate with cross-functional teams to ensure AI solutions are responsibly designed, deployed, and monitored.
- Evaluate use cases and AI vendor solutions, offering readiness evaluations and risk acceptance recommendations.
- Promote responsible AI adoption by developing standards, guidelines, training programs, and practical tools.
- Translate complex requirements into actionable frameworks and processes.
- Align frameworks and initiatives with business strategies.
- Provide clear communication and guidance to technical and non-technical stakeholders.
Requirements
- Proven experience designing and implementing Responsible AI or data/model governance frameworks.
- Strong understanding of risks such as bias, transparency, privacy, model drift, and operational resilience.
- Familiarity with legal and regulatory frameworks (e.g., GDPR, EU AI Act) and ability to translate them into actionable policies and controls.
- Experience embedding governance practices into operational routines (e.g., SDLC and change management).
- Strong ability to align cross-functional teams, manage complex initiatives, and 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 (e.g., finance, 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.
- Flexibility for adjusted schedules, overtime, and occasional weekend/evening hours.
- Frequent use of computer systems and virtual communication tools.
- Professional demeanor required for interactions within and outside the organization.
Skills
- AI Governance
- Responsible AI
- Data Governance
- Model Governance
- Risk Management
- Bias Detection
- Transparency
- Privacy
- Model Drift
- Operational Resilience
- GDPR
- EU AI Act
- SDLC
- Change Management
- Cross-functional Team Alignment
- Complex Initiative Management
- Technical Communication
- Business Communication
- AI/ML Technologies
- Risk Assessment Methods
Location
- Auston, TX
Work Type
- Hybrid
- Independent Contract
Experience Level
- Lead
Education Level
- Master’s degree in Data Science, Risk Management, or a related discipline
Salary/Compensations
- $80-100/hr