Senior Enterprise Data Platform Product Manager

JLL; Browns Corner (CO); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

401(k) plan with matching company

Medical, Dental & Vision Care

Paid parental leave

Paid Time Off and Holidays

Daily Pay early access

Job summary

JLL seeks a Senior Product Manager for the Enterprise Data Platform to drive data product strategy across property management, leasing, research, and capital markets. You will partner with data teams and business leaders to translate needs into concrete data solutions and establish a clear roadmap.

As a crucial member of the team, you will use Agile practices to deliver value to engineers, analysts and data scientists, collaborating across large, complex organizations.

Qualifications

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

Responsibilities

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

Skills

Enterprise data products

Product management

Stakeholder collaboration

Agile methodologies

Data storytelling

Tools

Data Modeling

SQL

Data Analytics Tools

Job description

JLL seeks a Senior Product Manager for the Enterprise Data Platform to drive data product strategy across property management, leasing, research, and capital markets. You will partner with data teams and business leaders to translate needs into concrete data solutions and establish a clear roadmap.

As a crucial member of the team, you will use Agile practices to deliver value to engineers, analysts and data scientists, collaborating across large, complex organizations.