Principal, Responsible AI Operationalisation Officer

Principal, Responsible AI Operationalization

Job Description

Are you passionate about tackling complex data problems? Do you thrive on using your analytical and cybersecurity skills to solve large-scale challenges? Are you intrigued by the intersection of complex business processes and data-driven approaches? If so, we'd love to hear from you!

At Schneider Electric, we are undergoing a transformative journey by leveraging Artificial Intelligence & Automation technologies to empower users with Machine Learning and Cognitive computing, driving business value.

Simultaneously, as the number of cybersecurity threats continues to grow, we recognize the importance of having a comprehensive cybersecurity approach across our solutions to safeguard our business and customers.

We seek a Responsible AI professional to join our AI Digital Risk Leader & Data Officer team to drive the Responsible AI strategy and operationalization plan and later on execute it with cyber, Data Risk, and Legal teams & stakeholders Schneider Electric.

The RAI PM will provide technical guidance and support to ensure that AI projects are developed, deployed, and maintained in a responsible manner within AI Hub cross functional teams.

Missions include:

• Draft and co-create RAI operationalization plan including key milestones, deliverables, and timelines in accordance with upcoming regulatory changes

• Help build OKRs (Objectives and Key Results) for the overall workstream as well as sub workstreams such as RAI Training (content creation by persona and training program)

• Collaborate with cross-functional teams to understand program requirements and identify Responsible AI technical considerations

• Help conducting Responsible AI impact assessments of AI external and internal use cases.

• Provide technical expertise in designing and implementing Responsible AI frameworks, ensuring compliance with ethical standards and regulations
Work closely with data scientists and AI engineers to design, develop, and deploy AI solutions responsibly.

• Stay updated on Responsible AI Regulation and Standards and help other stakeholders stay informed

Qualifications

Qualifications:

• Solid understanding of machine learning techniques and AI algorithms

• Experience in implementing Responsible AI practices, frameworks, and tools

• Experience in developing and deploying AI models

• Knowledge of ethical considerations in AI, such as fairness, transparency, privacy, explainability and accountability.

• Knowledge of data privacy regulations and standards, such as GDPR

• Strong analytical and problem-solving skills, with the ability to identify and address Responsible AI concerns in AI systems.

• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams

• Strong commitment to promoting Responsible AI practices.

• Bachelor's or Master's degree in Computer Science, Data Science, Analytics or rel...