Responsible AI Lead

RWE•Austin, TX

9d•$200,000 - $240,000•Onsite

About The Position

The Responsible AI Lead will own RWE Americas’ enterprise Responsible AI (RAI) framework and serve as the company’s RAI expert and strategic advisor to the Executive Leadership Team. The role is part of the AI Transformation team within the Strategy department, which leads the company’s AI agenda from setting ambitions through designing AI-enabled workflows and executing the strategy. The team works with the ELT, IT, and business functions, and monitors AI developments to identify actionable opportunities. The lead will guide enterprise AI governance, including oversight of portfolio-level risk through the RAI working team, which reports to the AI SteerCo. The role will operationalize the RAI handbook, shape the company’s position on RAI standards, and embed risk controls, assessments, monitoring, and remediation into AI product lifecycles and stage gates. Responsibilities also include reviewing AI product assessments, managing third-party vendor compliance, reporting incidents to the ELT, and building organizational awareness and capability in responsible AI. This is an office-based position with some travel and visits to other RWE Americas offices and field locations. Applicants must be legally authorized to work in the United States; employment visa sponsorship or transfer is not available.

Requirements

Master’s or Ph.D. in Computer Science, Data Science, Ethics, Law, or a related field, with a focus on AI/ML, ethics, or governance.
At least 11 years of relevant professional experience in Responsible AI, technology governance, regulatory compliance, ethics, or related roles.
Deep expertise in Responsible AI best practices, frameworks, and the AI regulatory landscape, with the ability to translate complex requirements into practical, enforceable controls.
Strong structured problem-solving ability and capacity to navigate ambiguous challenges at the intersection of technology, law, ethics, and business needs.
Excellent written and verbal communication skills, including experience preparing governance-risk and strategic Responsible AI materials for C-suite and board-level audiences.
Ability to engage and influence senior stakeholders and build consensus across cross-functional stakeholders on Responsible AI standards.
Commitment to excellence and innovation, including identifying and embedding emerging Responsible AI best practices as the regulatory and technical landscape evolves.
Courage and decisiveness to challenge AI product and delivery teams when ethical or regulatory controls are insufficient and maintain those positions under pressure.
Solid understanding of AI product development, model lifecycle management, stage-gate governance, and deployment practices, sufficient to evaluate Responsible AI compliance and engage with technical teams and product squads.
Must be legally authorized to work in the United States; the employer cannot sponsor or take over sponsorship of employment visas.
Must be able to sit, walk, or stand for long durations.

Nice To Haves

Certifications or specialized training in Responsible AI, AI ethics, or governance frameworks.
Experience in the power, utilities, or clean energy sector, including knowledge of U.S. power markets, renewable project development, and clean energy technologies.

Responsibilities

Own the enterprise Responsible AI framework, embedding legal, regulatory, and ethical controls, including risk classification and assessments, throughout the lifecycle of AI products.
Serve as the company’s Responsible AI expert and strategic advisor to the Executive Leadership Team.
Lead the Responsible AI working team, a governance committee reporting to the AI SteerCo, to oversee portfolio-level risk and promote consistent responsible AI practices across the enterprise.
Shape the organization’s position on Responsible AI standards and engage with internal and external stakeholders.
Maintain and operationalize the Responsible AI handbook with legal, IT/OT, and other stakeholders, ensuring controls are practical, enforceable, and aligned with evolving regulations.
Embed Responsible AI controls, risk scoring, and ongoing monitoring into product lifecycles and stage gates, validating requirements at each delivery stage and establishing remediation processes.
Review and approve Responsible AI assessments for AI products and manage third-party vendor compliance across the portfolio.
Track and report AI-related incidents to the Executive Leadership Team; maintain an incident log, assess risk implications, and ensure escalation, remediation, and closure.
Drive Responsible AI awareness and capability-building by designing training, guidance materials, and engagement programs for the organization and delivery squads.