PGIM Real Estate

Job Classification: Technology - Data Analytics & Management A GLOBAL FIRM WITH A DIVERSE & INCLUSIVE CULTURE As the Global Asset Management business of Prudential, we’re always looking for ways to improve financial services. We’re passionate about making a meaningful impact - touching the lives of millions and solving financial challenges in an ever-changing world. We also believe talent is key to achieving our vision and are intentional about building a culture on respect and collaboration. When you join PGIM, you’ll unlock a motivating and impactful career – all while growing your skills and advancing your profession at one of the world’s leading global asset managers If you’re not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that’s investing in your future by shaping tomorrow today. At PGIM, You Can

What you will do

• Capture the questions the business needs answered; identify the users, decisions and outcomes that matter.
• Build and continuously refine an analytics roadmap, prioritizing use cases, datasets and capabilities based on decision impact, urgency, scalability and enterprise value.
• Translate business strategy and operating needs into scalable information and analytics capabilities.
• Lead business alignment on common terminology, calculations, ownership, and authoritative definitions, resolving competing interpretations across teams and regions.
• Partner with Systems throughout design and delivery, providing clear business requirements and decisions.
• Lead business validation and certification by confirming accuracy, usefulness, controls, performance, security and readiness with the appropriate stakeholders.
• Define the adoption approach for each data product, including user guidance, training, workflow integration, access, support and communication of the questions the product can answer.
• Govern business access and change by partnering with Data Governance and Systems teams to manage sensitive data, approve changes, preserve trusted definitions and encourage responsible reuse.
• Measure adoption, quality and business impact; prioritize enhancements; expand proven capabilities; and retire content that no longer creates sufficient value.
• Communicate roadmaps, decisions, risks, dependencies and realized value with clarity and executive-level presence.
• Work directly with data and source systems to validate assumptions, understand business meaning, and ensure analytics capabilities are grounded in how the business actually operates.
• Investigate variances, anomalies and reconciliation breaks across investment, portfolio and asset data, running issues to root cause and driving correction at the source rather than adjusting downstream reporting.
• Use analytical tools to validate opportunities, test hypotheses, and confirm business value before larger investments are made.
• Define and pressure-test the calculations, business rules and data definitions behind key metrics, validating them against source data so results reconcile across funds, regions and systems.
• Partner with Systems to ensure datasets and analytics capabilities accurately reflect business processes, decisions, and definitions.
• Translate recurring analytical requests into durable datasets and reusable analytics, eliminating repeated manual effort and one-off spreadsheet builds.
• Assess new internal and external data sources for quality, coverage and fit, and determine how they should be integrated to answer priority business questions.
• Interrogate analytical and AI-generated outputs for accuracy and reasonableness, applying domain knowledge to identify where results do not hold up before they inform decisions.

What you will bring

• Bachelor's degree in finance, economics, real estate, information systems, data/analytics or a related field; advanced degree or relevant professional designation is a plus.
• Significant experience leading data, analytics, information or decision-support initiatives in Commercial Real Estate, investment management, or similar environment.
• Deep understanding of how investment, portfolio, asset or operating decisions are made, with the credibility to challenge assumptions and help senior stakeholders reach alignment.
• Demonstrated ability to frame complex business questions, define scalable information requirements and translate strategy into prioritized roadmaps and measurable outcomes.
• Ability to work effectively with engineers, data professionals and dashboard developers without taking over their technical delivery responsibilities.
• Exceptional stakeholder leadership, facilitation, communication and executive storytelling skills, including the ability to build consensus across business areas with different priorities and ter