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PGIM - Manager, Data Management & Analytics; Hybrid
Job in
Newark, Essex County, New Jersey, 07175, USA
Listed on 2026-07-21
Listing for:
Prudential Annuities Distributors (PAD)
Full Time
position Listed on 2026-07-21
Job specializations:
-
IT/Tech
Data Analyst, Business Systems & Technology Analysis, Business Intelligence, Data Engineering
Job Description & How to Apply Below
Data & Analytics Manager – Global Business Enablement (Real Estate)
Data & Analytics Manager role within the Global Business Enablement team, focusing on the Real Estate platform. The role includes high-impact, enterprise-wide data initiatives, integrating diverse datasets, enabling advanced analytics, and leveraging AI-enabled capabilities across a strategic data platform.
Responsibilities- Partner closely with stakeholders such as Marketing, RFP, Operations, Product, Portfolio Management, Asset Management, Business Development, etc., to understand data requests, clarify requirements, and translate business questions into well-defined analytical deliverables.
- Develop, integrate, and maintain analytical datasets by combining internal and external sources, ensuring accuracy, consistency, and scalability for business reporting and decision-making.
- Translate business needs into actionable requirements and work with Technology teams to design, architect, and deliver effective data and analytics solutions using modern approaches.
- Drive management and scaling of AI use cases by establishing best practices, standardizing tools and methodologies, and building foundational AI capabilities for broader, responsible adoption.
- Apply strong data governance practices by documenting data sources, definitions, and transformations; supporting data quality checks; and contributing to trusted, well-governed datasets.
- Utilize firm-approved tools such as Microsoft Purview, CoPilot Studio, Azure, Claude, and related platforms for end-to-end data and analytics solutions with AI capabilities.
- Support the broader Global Business Enablement team by adapting to evolving priorities, taking on multiple roles as needed, and contributing across functions.
- Lead effective project management by driving clear plans, timelines, and deliverables; providing timely and transparent status reporting; and delivering executive-level storytelling that enables alignment and informed decisions.
- Bachelor's degree in Information Systems, Finance, or a related field.
- 5+ years of experience in data management, delivery, and business analysis.
- Hands-on experience with SQL, dashboarding (e.g., Power BI, Fabric Work spaces, AI tooling), and advanced Excel proficiency.
- Strong understanding of data governance tooling, data quality frameworks, and issue resolution processes.
- Experience delivering data products or reusable datasets that support self-service analytics and enterprise reporting.
- Excellent communication and stakeholder engagement skills.
- Genuine enthusiasm for AI and emerging technologies, demonstrated by active engagement with the latest tools and ongoing self-directed learning.
- Experience working with Commercial Real Estate or Asset Management.
- Salary range: $120,000 – $150,000.
- Market competitive base salaries with yearly bonus potential at every level.
- Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences such as parental and military leave.
- 401(k) plan with company match up to 4%.
- Company-funded pension plan.
- Wellness Programs including up to $1,600 a year for reimbursement of personal wellbeing items.
- Work/Life Resources covering parenting, housing, senior care, finances, pets, legal matters, education, mental health, and career development.
- Education Benefit to finance traditional college enrollment and accredited certificate programs.
- Employee Stock Purchase Plan with shares purchasable at 85% of the lower of two prices.
- Eligibility for a discretionary annual incentive program subject to performance.
Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law.
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