PGIM Data & Analytics Manager (Hybrid)

Responsibilities

• What you can expect
• Partner closely with a diverse set of stakeholders (e.g., 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 data from multiple internal and external sources, ensuring accuracy, consistency, and scalability to support business reporting and decision‑making needs.
• Translate business needs into actionable requirements and partner closely with Technology teams to design, architect, and deliver effective data and analytics solutions using a modern approach.
• Drive effective management and scaling of AI use cases by establishing best practices, standardizing tools and methodologies, and building foundational AI capabilities that enable broader, responsible adoption across teams.
• Apply strong data governance practices by documenting data sources, definitions, and transformations; supporting data quality checks; and contributing to the maintenance of trusted, well‑governed datasets.
• Utilize the evolving list of firm approved tools such as Microsoft Purview, CoPilot Studio, Azure, Claude and related platforms-to make use of 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 flexibly across functions.
• Lead effective project management by driving clear plans, timelines, and deliverables; provide timely and transparent status reporting; and deliver compelling executive‑level storytelling that enables alignment, informed decisions, and stakeholder confidence.

Requirements

• Bachelor's degree in information systems, Finance, or a related field
• 5+ years of experience in data management, data delivery, and business analysis.
• Hands-on experience with SQL , Dashboarding (e.g. Power BI, Fabric Workspaces, AI tooling), Excel (Advanced Proficiency)
• Strong understanding of data governance tooling and 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 Real Estate or Asset Management is a strong plus
• *PGIM welcomes all applicants, even if you don't meet every requirement. If your skills align with the role, we encourage you to apply.
• About PGIM Real Estate With $208B in gross assets under management and administration ($131B net), PGIM Real Estate provides investors and borrowers access to a range of real estate equity, real estate debt, agriculture, and impact solutions across the risk-retu

Benefits

Additional Information

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!

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at pru? Share your experience