Lead, Enterprise AI Product Strategy

Jones Lang LaSalle Incorporated; Chicago (IL); On-site; USD 215,000 - 264,000; Full time

Benefits offered by this job

401(k) match

Medical/Dental/Vision

Parental leave

Paid time off

Daily pay

Job summary

Jones Lang LaSalle Incorporated (JLL) in Chicago, IL, seeks a Principal Product Manager to own the Enterprise AI product strategy, including sourcing and building AI capabilities and crafting governance aligned with business goals.

You will run vendor evaluations, balance build-versus-buy decisions, and define adoption metrics, driving value while ensuring responsible AI practices across a large, matrixed organization.

Qualifications

• 8+ years of product management or product leadership experience in a complex enterprise.
• Experience evaluating AI vendors or models and balancing build vs buy decisions.
• Experience with enterprise AI assistants or employee-facing AI tools.
• Deep fluency with frontier AI and agent concepts and upcoming model costs.
• Strong finance skills including TOC or unit-economics modeling.
• Proven ability to develop and defend product strategy at executive levels.

Responsibilities

• Own Enterprise AI portfolio strategy: vendor evaluation, build-versus-buy decisions, and governance.
• Define adoption and value metrics; report progress against strategic commitments.
• Collaborate with governance, risk, finance, and business lines to align AI initiatives.
• Drive discovery with users and lines to identify gaps and opportunities for high-value products.
• Lead cross-functional teams across geographies to close decisions with data-driven rationale.

Skills

Product management

Vendor evaluation

AI strategy

Cross-functional leadership

Financial modeling

Executive communication

Enterprise AI

Education

MBA or advanced degree

Job description

Jones Lang LaSalle Incorporated (JLL) in Chicago, IL, seeks a Principal Product Manager to own the Enterprise AI product strategy, including sourcing and building AI capabilities and crafting governance aligned with business goals.

You will run vendor evaluations, balance build-versus-buy decisions, and define adoption metrics, driving value while ensuring responsible AI practices across a large, matrixed organization.