PGIM Real Estate – Director, Data & Analytics, Global Business Enablement

Prudential Financial•Newark, NJ

19h•Hybrid

About The Position

PGIM Real Estate is seeking a Director of Data & Analytics for its Global Business Enablement team. The role influences 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 partners across investment, portfolio, asset, operating, and functional teams to identify important decisions, establish shared meaning, prioritize high-value opportunities, and remain accountable for adoption and value realization. The role calls for business judgment, domain knowledge, enterprise thinking, and the ability to align leaders around priorities, definitions, and outcomes. Systems partners own architecture, engineering, dashboards, and production delivery; the Director owns the business decisions and leadership needed to ensure those capabilities address the right problems. This is a hybrid role, with on-site work three times a week, based in Newark, New Jersey, or New York, New York. The position leads business alignment and validation of analytics capabilities, guides adoption and governance, investigates data quality and reconciliation issues, and translates recurring analysis requests into durable datasets and reusable analytics.

Requirements

Bachelor's degree in finance, economics, real estate, information systems, data/analytics, or a related field.
Significant experience leading data, analytics, information, or decision-support initiatives in Commercial Real Estate, investment management, or a similar environment.
Deep understanding of how investment, portfolio, asset, or operating decisions are made, and 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 consensus-building across business areas with different priorities and terminology.
Strong judgment amid ambiguity and a practical orientation toward sequencing work, making trade-offs, and delivering incremental value.
Strong analytical instincts and willingness to work directly with data to validate assumptions, investigate issues, and build confidence in business outcomes.
Strong quantitative reasoning and data problem-solving skills, including experience with large, imperfect datasets and diagnosing quality, reconciliation, and lineage issues.
Practical understanding of data modelling, semantic layers, and how Real Estate data is structured across investment, portfolio, asset, and operating systems.
Intellectual curiosity about data and persistence in investigating numbers that appear incorrect.
Working fluency with modern analytics and data platforms, with enough technical depth to engage credibly on data models, SQL, BI tools, cloud data environments, and AI-enabled analytical experiences.
Collaborative, curious, outcomes-oriented leadership style and commitment to trusted information, responsible innovation, and continuous learning.

Nice To Haves

An advanced degree or relevant professional designation.

Responsibilities

Capture business questions and identify the users, decisions, and outcomes that matter.
Build and continuously refine an analytics roadmap, prioritizing use cases, datasets, and capabilities by decision impact, urgency, scalability, and enterprise value.
Translate business strategy and operating needs into scalable information and analytics capabilities.
Align teams on 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 appropriate stakeholders.
Define adoption approaches for data products, including user guidance, training, workflow integration, access, support, and communication about product capabilities.
Govern business access and change with Data Governance and Systems teams, managing sensitive data, approving changes, preserving trusted definitions, and encouraging 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 with data and source systems to validate assumptions, understand business meaning, and ensure analytics reflect actual business operations.
Investigate variances, anomalies, and reconciliation breaks across investment, portfolio, and asset data; identify root causes and drive corrections at the source.
Use analytical tools to validate opportunities, test hypotheses, and confirm business value before larger investments.
Define and pressure-test 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 accurately reflect business processes, decisions, and definitions.
Turn recurring analytical requests into durable datasets and reusable analytics, reducing repeated manual effort and one-off spreadsheet builds.
Assess 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 before outputs inform decisions.

Benefits

Market-competitive base salary with yearly bonus potential at every level.
Medical, dental, vision, life, and disability insurance.
Paid Time Off (PTO) and leaves of absence, including parental and military leave.
401(k) plan with company match up to 4%.
Company-funded pension plan.
Wellness programs, including up to $1,600 per year in reimbursement for eligible personal wellbeing purchases.
Work/Life Resources for support with parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
Education benefit to help finance approved traditional college enrollment and accredited certificate programs.
Employee Stock Purchase Plan, allowing eligible shares to be purchased at 85% of the lower of the beginning or ending price of the purchase period.
Eligibility to participate in a discretionary annual incentive program, subject to program rules and applicable factors.