DuPont needs to architect and operationalize governance frameworks that ensure the responsible, secure, and business value-aligned use of artificial intelligence and emerging technologies across the enterprise, enabling innovation while safeguarding trust, compliance, and strategic alignment.
Requirements
- 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.
- Familiarity with ML Ops, model risk management, and AI assurance tools.
Responsibilities
- Collaboratively design and implement scalable, adaptable, enterprise-wide governance frameworks for Responsible AI and emerging technologies.
- Establish and Conduct AI-specific risk assessments and develop tiered risk models for use cases.
- Establish controls for bias, explainability, privacy, IP protection, and model robustness.
- Integrate governance checkpoints into the AI/tech lifecycle (e.g., intake, design, testing, deployment, monitoring).
- Maintain model registries, documentation standards, and assurance mechanisms.
- Monitor key risk indicators (e.g., model drift, hallucination, fairness metrics) and drive continuous improvement.
- Establish on robust testing protocols for generative AI and agentic systems
Other
- 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
- Track emerging technologies and assess their governance implications.
- Partner with innovation teams to establish and ensure responsible experimentation and scaling.
- 5+ years in IT governance, risk management, or emerging technology strategy
- Experience with cross-team collaborative advisory projects
- Strong communication and stakeholder engagement skills
- Experience presenting to senior leaders and larger groups
- Experience in manufacturing, industrial IoT, or operational technology.
- Certifications such as CRISC, CIPP, or Responsible AI credentials.
