Responsible AI Manager - Emerging Technologies at DuPont - Saudi Arabia

Avilés, asturias, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Jan, 26

Salary

0.0

Posted On

20 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

IT Governance, Risk Management, Emerging Technology Strategy, AI/ML Systems, Data Governance, Regulatory Landscapes, Governance Frameworks, Cross-Team Collaboration, Communication Skills, Stakeholder Engagement, Policy Development, Compliance, Model Risk Management, Generative AI, Change Management, Training Development

Industry

Manufacturing

Description

At DuPont, our purpose is to empower the world with essential innovations to thrive. We work on things that matter. Whether it’s providing clean water to more than a billion people on the planet, producing materials that are essential in everyday technology devices from smartphones to electric vehicles, or protecting workers around the world. Discover the many reasons the world’s most talented people are choosing to work at DuPont. Why Join Us | DuPont Careers Job Summary As the Responsible AI Manager - Emerging Technologies, you will architect and operationalize governance frameworks that ensure the responsible, secure, and business value-aligned use of artificial intelligence and emerging technologies across the enterprise. This role is pivotal in enabling innovation while safeguarding trust, compliance, and strategic alignment in a rapidly evolving digital landscape. You will work cross-functionally with IT, Digital, Legal, Compliance, Cybersecurity, and Business Units to embed governance into the full lifecycle of AI and emerging tech—from ideation to decommissioning—ensuring alignment with global regulations and enterprise risk frameworks. Primary Duties & Responsibilities Governance Strategy & Framework Development Collaboratively design and implement scalable, adaptable, enterprise-wide governance frameworks for Responsible AI and emerging technologies. Framework should cover full lifecycle (intake to decommissioning) and is aligned with enterprise governance principles. Align governance with global standards and regulations. Lead the development of policies, principles, and operating models that balance innovation with risk mitigation. Risk Management & Compliance Establish and Conduct AI-specific risk assessments and develop tiered risk models for use cases. Align with internal policies and compliance requirements for all emerging technologies. Establish controls for bias, explainability, privacy, IP protection, and model robustness. Collaborate with Legal and Compliance to ensure regulatory readiness and auditability. Lifecycle Governance & Oversight Integrate governance checkpoints into the AI/tech lifecycle (e.g., intake, design, testing, deployment, monitoring). Focus on continuous integration, ongoing monitoring, and adaptive governance Maintain model registries, documentation standards, and assurance mechanisms. Monitor key risk indicators (e.g., model drift, hallucination, fairness metrics) and drive continuous improvement. Stakeholder Engagement & Enablement Serve as a trusted advisor to executive leadership on Responsible AI and emerging tech governance. Lead governance councils or working groups to evaluate and prioritize initiatives. Develop training, awareness, and change management programs to build a culture of responsible innovation. Embed RAI governance into demand intake, solution delivery, and monitoring processes Strategic Foresight & Innovation Enablement Track emerging technologies and assess their governance implications. Partner with innovation teams to establish and ensure responsible experimentation and scaling. Establish on robust testing protocols for generative AI and agentic systems Education & Experience Required: 5+ years in IT governance, risk management, or emerging technology strategy Deep understanding of AI/ML systems, data governance, and regulatory landscapes Experience operationalizing governance frameworks in complex, global environments. Experience with enterprise-wide framework development. Experience with cross-team collaborative advisory projects Strong communication and stakeholder engagement skills Experience presenting to senior leaders and larger groups Bachelor’s Degree in Information Technology, Computer Science, or a related field Preferred: Experience in manufacturing, industrial IoT, or operational technology. Familiarity with ML Ops, model risk management, and AI assurance tools. Certifications such as CRISC, CIPP, or Responsible AI credentials. Join our Talent Community to stay connected with us! DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information. DuPont offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page. As of October 1, 2025, job opportunities for Qnity, DuPont Electronics' future company, are available. Qnity will be one of the largest and broadest solution providers in the semiconductor and electronics industries, enabling advanced computing, smart technologies, and connectivity. Job postings for Qnity will be accessible through the following site. For additional information on our unbridled commitment to deliver essential innovations that enrich people's lives, enable sustainable development and foster human potential for generations to come, please access the following link to better understand & appreciate. Together, we're turning possibilities into real world answers that help humanity prosper! DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information.

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Responsibilities

The Responsible AI Manager will architect and operationalize governance frameworks for the responsible use of AI and emerging technologies. This role involves working cross-functionally to ensure compliance and strategic alignment throughout the AI lifecycle.