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Data & Analytics Manager
PGIMData & Analytics Manager in global asset management leading data-driven decision-making initiatives. Collaborating with stakeholders to ensure data accuracy and enable advanced analytics solutions.
Posted 7/1/2026full-timeNewark • New Jersey, New York • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $150,000 per yearWebsite
Tech Stack
Tools & technologiesAzureSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Benefits
Comp & perks- Medical, dental, vision, life insurance, disability insurance
- Paid Time Off (PTO)
- 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 items purchased to support personal wellbeing needs
- Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development
- Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs
- Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data DeliveryBusiness AnalysisDashboardingAdvanced ExcelData Quality Frameworks
Soft Skills
CommunicationStakeholder EngagementProject Management