PGIM Real Estate – Director, Data & Analytics, Global Business Enablement at Prudential Financial in Newark, NJ
- Company: Prudential Financial
- Location: Newark, NJ, USA
- Salary: $150K – $175K
- Job type: full time
- Workplace: hybrid
- Posted: 2026-10-27
All open roles at Prudential Financial
Job description
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 PGIM is seeking a Director of Data & Analytics to join our Global Business Enablement team within Real Estate. This role offers the opportunity to influence how Real Estate captures, scales, and applies information across the investment lifecycle, helping shape the operating model for analytics, automation and decision-making. The Director will partner across investment, portfolio, asset, operating and functional teams to identify the decisions that matter, establish shared meaning, prioritize the highest-value opportunities, and remain accountable through adoption and value realization. The role requires strong business judgment, domain fluency, enterprise thinking and the ability to bring leaders together around common priorities, definitions and outcomes. Systems partners will own, architecture, engineering, dashboards and production delivery; the Director will own the business decisions and leadership needed to ensure those capabilities solve the right problems. This is a hybrid role (on-site 3 times a week) based in Newark, NJ, or New York, NY What you can expect · 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 pre
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