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Prudential Financial

Sells life insurance, annuities and investments

Director, Data & Analytics - Global Business Enablement

Data ManagementConfirmed live in the last 24 hours
Full-time$150k - $175k

About the Job

Requirements

  • A bachelor's degree in finance, economics, real estate, information systems, data/analytics, or a related field is required.
  • Significant experience leading data, analytics, information, or decision-support initiatives in Commercial Real Estate, investment management, or a similar environment is required.
  • A deep understanding of how investment, portfolio, asset, or operating decisions are made, with the credibility to challenge assumptions and help senior stakeholders reach alignment, is required.
  • The candidate must be able to frame complex business questions, define scalable information requirements, and translate strategy into prioritized roadmaps and measurable outcomes.
  • The candidate must be able to work effectively with engineers, data professionals, and dashboard developers without taking over their technical delivery responsibilities.
  • Stakeholder leadership, facilitation, communication, and executive storytelling skills are required, including the ability to build consensus across business areas with different priorities and terminology.
  • The candidate must exercise sound judgment amid ambiguity, sequence work, make trade-offs, and deliver incremental value.
  • Strong analytical instincts and willingness to work directly with data to validate assumptions, investigate issues, and build confidence in business outcomes are required.
  • Strong quantitative reasoning and data problem-solving skills are required, including experience with large, imperfect datasets and diagnosing quality, reconciliation, and lineage issues.
  • A practical understanding of data modelling, semantic layers, and how Real Estate data is structured across investment, portfolio, asset, and operating systems is required.
  • Working fluency with modern analytics and data platforms, and enough technical depth to engage credibly on data models, SQL, business intelligence tools, cloud data environments, and artificial-intelligence-enabled analytical experiences, is required.
  • A collaborative, curious, and outcomes-oriented leadership style, with a commitment to trusted information, responsible innovation, and continuous learning, is required.

Responsibilities

  • Capture the questions the business needs answered and 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 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 reflect how the business operates.
  • Investigate variances, anomalies, and reconciliation breaks across investment, portfolio, and asset data; trace issues to root cause and drive 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.

Desired Qualifications

  • An advanced degree or relevant professional designation is a plus.

About the Company

Prudential Financial

Sells life insurance, annuities and investments

Prudential Financial sells life insurance, annuities and retirement plans to individuals and employers in the United States and Japan, and it invests money for institutional investors through PGIM, its asset management arm. PGIM brings together specialist firms, including stock picker Jennison Associates and separate units for bonds, quantitative strategies, real estate and private credit. Prudential earns insurance premiums, collects investment returns on the premiums it holds until claims and payouts come due, and charges fees on the assets PGIM manages. The company was founded in 1875 to sell burial insurance and is headquartered in Newark, New Jersey.

Company size
10,001+
Company stage
IPO
Headquarters
Newark, NJ
Founded
1875

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