Senior Manager, AI Portfolio

About the role

The Sr. Manager, AI Portfolio will lead the development and execution of enterprise AI governance, portfolio management, and adoption strategies at UL Research Institutes and UL Standards & Engagement.

Responsibilities

• Establish, implement, and continuously improve enterprise AI governance, portfolio management, and operating frameworks that support responsible AI adoption and innovation across ULRI and ULSE.
• Lead enterprise AI intake, evaluation, prioritization, and lifecycle management processes to ensure AI initiatives align with organizational strategies, governance requirements, resource capacity, and business objectives.
• Partner with mission and shared services leaders to identify, assess, prioritize, and advance AI opportunities that deliver measurable operational, research, and organizational value.
• Oversee the enterprise AI portfolio and roadmap, providing visibility into priorities, dependencies, risks, outcomes, resource utilization, and value realization across initiatives.
• Direct the delivery and operationalization of AI solutions from concept through implementation, adoption, and continuous improvement, ensuring solutions are scalable, sustainable, and aligned with enterprise technology standards.
• Define and monitor key performance indicators and success measures to evaluate portfolio health, AI adoption, operational impact, risk posture, and realized business value.
• Partner with Legal, Information Security, Risk, Compliance, Finance, Human Resources, and other stakeholders to operationalize Responsible AI practices, including governance, privacy, security, transparency, compliance, and appropriate human oversight.
• Establish and manage relationships with external vendors, consultants, technology providers, and strategic partners to support AI strategy execution, knowledge transfer, and organizational capability development.
• Champion enterprise AI enablement through education, change management, communities of practice, governance forums, and adoption programs that build organizational understanding, capability, and confidence in AI technologies.
• Provide leadership, consultation, and strategic direction regarding emerging AI technologies, industry trends, governance practices, and opportunities to advance organizational effectiveness and innovation.

Requirements

• Demonstrated knowledge of artificial intelligence technologies, including generative AI, machine learning, intelligent automation, agentic AI, AI governance, and responsible AI principles.
• Strong portfolio, program, and product management experience with the ability to lead complex, cross-functional initiatives from strategy through execution and adoption.
• Ability to establish governance frameworks, operating models, performance metrics, and business processes that support effective technology and AI implementations.
• Strong analytical and strategic thinking skills with the ability to translate complex technical concepts into actionable business recommendations.
• Demonstrated ability to influence and collaborate effectively with senior leaders, technical teams, governance bodies, and external partners.
• Experience managing vendor and partner relationships with accountability for performance, service delivery, and value realization.
• Excellent communication, facilitation, stakeholder management, and change leadership skills.
• Ability to balance innovation, risk management, compliance, and operational effectiveness in a complex organizational environment.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Business Administration, or a related field; Master's degree preferred.