Global Data & Analytics Strategy Director

Prudential Financial; Newark (NJ); On-site; USD 150,000 - 175,000; Full time

Benefits offered by this job

Market-competitive base salary

Bonus potential

Medical, dental, vision

401(k) plan with company match

Job summary

Prudential Financial's PGIM Real Estate seeks a senior analytics leader to translate business needs into scalable data capabilities. You will manage cross-functional teams across data, systems, and business units to validate data quality and deliver value-driven analytics for decision-making in commercial real estate and asset management.

Strong stakeholder leadership, experience with large datasets, and proficiency in SQL/BI tools are required.

Qualifications

• Bachelor's degree in a related field; advanced degree or designation is a plus.
• Significant experience leading data, analytics, information or decision-support initiatives in real estate or investment management.

Responsibilities

• Capture business questions and identify users, decisions and outcomes.
• Build analytics roadmap prioritizing datasets and capabilities based on value.
• Translate strategy into scalable information and analytics capabilities.
• Lead alignment on data definitions and ownership across teams.
• Partner with Systems to deliver clear business requirements and decisions.
• Lead validation of data quality, controls and usefulness with stakeholders.
• Define adoption approaches for data products, including training and access.

Skills

Data analytics

Stakeholder leadership

SQL

BI tools

Cloud data environments

Education

Bachelor's degree in finance, economics, real estate, information systems, data/analytics

Tools

Excel

Tableau/Power BI

Data governance

Job description

Prudential Financial's PGIM Real Estate seeks a senior analytics leader to translate business needs into scalable data capabilities. You will manage cross-functional teams across data, systems, and business units to validate data quality and deliver value-driven analytics for decision-making in commercial real estate and asset management.

Strong stakeholder leadership, experience with large datasets, and proficiency in SQL/BI tools are required.