Senior Manager, AI Portfolio

We have an exciting opportunity for a Sr.

Manager, AI Portfolio at UL Research Institutes and UL Standards & Engagement, based in our Evanston, IL office.

The Sr.

Manager, AI Portfolio will be responsible for leading the development and execution of enterprise AI governance, portfolio management, and adoption strategies that enable responsible and effective use of artificial intelligence

across UL Research Institutes (ULRI) and UL Standards & Engagement (ULSE).

This role partners with mission and shared services leaders to establish AI operating frameworks, guide investment and prioritization decisions, manage AI solution lifecycles, and ensure alignment with organizational objectives, risk management practices, and governance requirements.

The Sr.

Manager, AI Portfolio serves as a strategic advisor and connector across business, technology, and external partner communities, driving AI innovation, value realization, and sustainable adoption while fostering enterprise-wide AI literacy and responsible AI practices.

UL Research Institutes and UL Standards & Engagement

At UL Research Institutes (ULRI) and UL Standards & Engagement (ULSE), we expand the boundaries of safety science to create a more secure and sustainable world.

For more than a century, we have studied the unintended consequences of innovation, designed solutions to mitigate risk, created new safety standards and shared our findings with academia, scientists, manufacturers, and policymakers across industries.

We identify critical safety and sustainability issues, asking the tough questions because we believe a safer world begins with knowledge.

What you’ll learn and achieve:

As the Sr.

Manager, AI Portfolio, you will play a key role in the rapid growth of UL as you:

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.

Develop and apply decision-making frameworks for evaluating build, buy, partner, or hybrid delivery approaches based on strategic alignment, cost, risk, security, capability, and operational sustainability.

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.

What you’ll experience working at UL Research Institutes and UL Standards & Engagement: We have pursued our mission of working for a safer, more secure, and sustainable world for nearly 130 years, embedding conscientious stewardship into everything we do.

People: Our people make us special.

You’ll work with a diverse team of experts respected for their independence and transparency and build a network, because our approach is collaborative.

We collaborate across disciplines, organizations, and geographies to build the global scientific response that today’s global challenges require.

Interesting work: Every day is different for us here.

We see what’s on the horizon and use our expertise to build the foundations of a safer future.

You’ll have the opportunity to push the boundaries of human understanding as part of a team working to advance the public good.

Grow and achieve: We learn, work, and grow together through targeted development, reward, and recognition programs.

Values.

Four core values guide our work: collaboration, respect, integrity, and beneficence.

By living our values, we inspire the trust essential to fulfilling our mission and foster the partnerships that enable us to pursue a beneficent future in which we all can thrive.

Total Rewards: All employees at UL Research Institutes are eligible for bonus compensation.

We offer comprehensive medical, dental, vision, and life insurance plans and a generous 401k matching structure of up to 5% of eligible pay.

Moreover, we invest an additional 4% into your retirement saving fund after your first year of continuous employment.

Depending on your role, you may be able to discuss flexible working arrangements with your manager.

We also provide employees with paid time off, including vacation, holiday, sick, and volunteer days.

What makes you a great fit:

While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:

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.