Platform Data Product Leader – Enterprise Insights

Jones Lang LaSalle Incorporated; Chicago (IL); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

401(k) plan with matching

Comprehensive Medical, Dental & Vision

Paid parental leave

Paid Time Off

Daily Pay

Job summary

Jones Lang LaSalle (JLL) is seeking a Senior Product Manager for its Enterprise Data Platform. You will own the data product roadmap, aligning with property management, leasing, research and capital markets, while partnering with data teams and stakeholders to deliver data solutions.

You will drive prioritization, translate business needs into technical requirements, and lead cross-functional teams using Agile practices to deliver value to engineers, analysts, and data scientists across the

Qualifications

• 5+ years in enterprise data products.
• Experience translating business needs into technical requirements.
• Strong understanding of engineering best practices for data management.
• Excellent communication and collaboration across large organizations.
• Proficiency with data modeling, SQL, and data analytics tools.

Responsibilities

• Define and prioritize a product roadmap and backlog aligned with business lines.
• Collaborate with business line product and engineering leaders to understand workflows and data needs.
• Partner with engineering, PM and leadership to articulate a clear vision for data products.
• Utilize Agile methodologies to deliver incremental value to end users.

Skills

Enterprise data products

Data product management

Engineering best practices (data)

Cross-functional collaboration

Data modeling, SQL & analytics tools

Job description

Jones Lang LaSalle (JLL) is seeking a Senior Product Manager for its Enterprise Data Platform. You will own the data product roadmap, aligning with property management, leasing, research and capital markets, while partnering with data teams and stakeholders to deliver data solutions.

You will drive prioritization, translate business needs into technical requirements, and lead cross-functional teams using Agile practices to deliver value to engineers, analysts, and data scientists across the