Responsible AI Director

RWE•Austin, TX

1d•$200,000 - $240,000•Onsite

About The Position

The AI Transformation team, within the Strategy department, leads RWE Americas’ AI agenda from setting ambition through designing AI-enabled workflows and delivering them. The team works with the Executive Leadership Team (ELT), IT, and business functions to establish AI priorities and execute the strategy, while monitoring developments in AI and identifying actionable opportunities with business units. The Responsible AI Director owns the enterprise Responsible AI framework and serves as the company’s Responsible AI expert and strategic advisor to the ELT. The role leads the Responsible AI working team, a governance committee reporting to the AI SteerCo, which includes the CEO. The Director establishes practical legal, regulatory, and ethical controls throughout the AI product lifecycle; oversees portfolio risk and vendor compliance; shapes the company’s position on Responsible AI standards; and tracks, escalates, and supports remediation of AI-related incidents. The position also maintains the Responsible AI handbook, embeds risk assessments and controls into product lifecycle stage gates, and builds organization-wide Responsible AI awareness through training, guidance, and engagement programs. This is an office-based role with some travel to other RWE Americas offices and field locations.

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 skills and ability to navigate ambiguous challenges at the intersection of technology, law, ethics, and business needs and produce clear policy recommendations.
Outstanding 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 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 to maintain those positions under pressure.
Solid understanding of AI product development processes, including model lifecycle management, stage-gate governance, and deployment practices, sufficient to evaluate compliance and engage with technical teams and product squads.
Legally authorized to work in the United States; the employer is unable to sponsor or take over sponsorship of employment visas.
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 ELT.
Lead the Responsible AI working team, a governance committee reporting to the AI SteerCo, to oversee portfolio-level risk and promote consistent application of Responsible AI 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 regulatory requirements.
Embed Responsible AI controls, risk scoring, and ongoing monitoring into product lifecycles and stage gates; ensure ethical and regulatory requirements are tested and validated, and that remediation processes are in place.
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 ELT, maintain an incident log, assess risk implications, and ensure timely escalation, remediation, and closure.
Drive Responsible AI awareness and capability-building, including designing training, guidance materials, and engagement programs that embed Responsible AI practices into squad-level delivery.