Responsible AI Strategy & Training Manager

at  RELX

Responsible AI Strategy & Training Manager
Do you have a passion for AI ethics and responsible use of technology?
Do you have experience in the field of Training?
About our Team
Our team works within the Legal department, helping make the most out of Elsevier’s high quality scientific, medical and technology content. We work on high visibility projects, bringing customer-focussed, ethical design expertise to the development of high impact AI products.
About the Role
Supporting the enterprise to build and deliver ethical and trustworthy data-driven technology. Working with the Responsible AI & Data Science (RAIDS) Senior Director & team to implement and evolve policies, standards and best practices. Embedding a culture of risk management in use of algorithms across the enterprise.

Responsibilities

• Utilising your expertise in data strategy, governance and AI ethics to perform & maintain a market analysis. Evaluate best practices in the field on an ongoing basis, identifying threats & opportunities.
• Providing strategic recommendations on how to achieve organisational change within Elsevier, and how best to operationalize the RELX Responsible AI Principles.
• Conducting research & analyses of operational effectiveness, processes & stakeholders in AI governance. Drive & iterate development of governance artefacts including data cards, model cards and algorithmic impact assessments.
• Scaling internal RAIDS Champions training program to provide ongoing education & awareness. Facilitate & provide support for product & data science teams in completing Algorithmic Impact Assessments and escalating issues according to policy.
• Consulting on technology & AI policy across the business, including working with governance leaders in RELX on the upcoming EU AI Act. Support RAIDS Senior Director in guiding executive decision-making process.

Requirements

• Have expertise and deep interest in AI ethics and data governance, with up-to-date knowledge of the AI governance landscape
• Display deep knowledge of ethics and diversity issues in publishing, research, academia & healthcare
• Have an awareness of the data technology landscape, including knowledge of some tooling and platform capabilities
• Experience in delivering training including developing training materials, planning & facilitating workshops.

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Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form:
https://forms.office.com/r/eVgFxjLmAK
, or please contact 1-855-833-5120.
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• Utilising your expertise in data strategy, governance and AI ethics to perform & maintain a market analysis. Evaluate best practices in the field on an ongoing basis, identifying threats & opportunities.
• Providing strategic recommendations on how to achieve organisational change within Elsevier, and how best to operationalize the RELX Responsible AI Principles.
• Conducting research & analyses of operational effectiveness, processes & stakeholders in AI governance. Drive & iterate development of governance artefacts including data cards, model cards and algorithmic impact assessments.
• Scaling internal RAIDS Champions training program to provide ongoing education & awareness. Facilitate & provide support for product & data science teams in completing Algorithmic Impact Assessments and escalating issues according to policy.
• Consulting on technology & AI policy across the business, including working with governance leaders in RELX on the upcoming EU AI Act. Support RAIDS Senior Director in guiding executive decision-making process