Emerging Technology Leader

Job Summary

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.

• Subject matter expertise in the technology landscape and ability to continuously monitor and identify promising innovations, startups, and disruptive trends for the enterprise environment.
• Lead a structured evaluation processes for emerging technologies prior to deployment, including technical feasibility, business impact, and cost benefit (build, buy or borrow evaluation).
• Develop and maintain technology best practices and processes to inform strategic investment and experimentation priorities.
• Design and implement an AI/ML Center of Excellence or AI Foundry to serve as the backbone as we move toward scalable, enterprise-wide AI adoption initiatives.

• Oversee the deployment, monitoring, and lifecycle management of machine learning models and AI solutions. Establish best practices for ML Ops, including model versioning, performance tracking, and governance.
• Collaborate closely with functional IT teams to ensure robust, scalable, and compliant ML pipelines.

• Implement an Agile/SCRUM framework, determining the correct ratio of FTE and contractor/vendor services to scale solutions and support ambitious organizational goals.
• Lead cross-functional teams in designing and building MVPs and POCs for high-impact use cases. Leverage agile methodologies to accelerate prototyping cycles and validate concepts quickly, ensure learnings are captured and leveraged for future initiatives.

• Serve as an AI/ML SME and a trusted advisor to executive leadership and business partners on emerging technology opportunities, prioritizing the right tech at the right time to maximize value and impact to the business.
• Facilitate workshops, demos, and showcases to build awareness and excitement around new solutions.
• Develop training and enablement programs to foster a culture of experimentation and responsible innovation.

• Partner with innovation and strategy teams to assess the long-term implications of emerging technologies.
• Guide the organization in responsible experimentation, scaling, and integration of new solutions.
• Track regulatory, ethical, and security considerations relevant to new technologies.

Required:

• 15+ years leading technology innovation initiatives in global organizations, including AI and ML experience at the enterprise level
• 7+ years of people management experience leading global teams
• Proven success delivering innovative data and digital solutions (Data Lake, Advanced Analytics, IoT), with experience in ML Ops, rapid prototyping, and technology scouting at the enterprise level.
• Strong data science or computer science background, with deep expertise in AI/ML systems, agile development, and enterprise architecture.
• Demonstrated ability to lead cross-functional teams and deliver business outcomes in a global environment.
• Exceptional communication and analytical problem‑solving skills.
• Experience leading onshore and offshore resources in an agile framework, determining the right combination of expertise to execute projects.
• Bachelor's Degree in Information Technology, Computer Science, Technology, or a related technical field

• Strong experience with Azure and other cloud platforms, Dev Ops, and AI assurance tools. Advanced certifications in this area are a plus.
• A history of leveraging data and analytics to drive decisions that create measurable business value.
• Ability to recruit, mentor and develop talent in digital innovation.
• A learner mindset and passion for emerging technology.

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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…