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MUFG Bank - Jersey City, NJ

posted 2 months ago

Full-time - Senior
Jersey City, NJ
10,001+ employees
Credit Intermediation and Related Activities

About the position

The Lead Data Analyst & Portfolio Manager for Financial Products at MUFG Bank is a senior-level role responsible for bridging IT and business teams to support the development and delivery of critical data solutions. This position involves managing stakeholder relationships, overseeing project timelines, and leading a small team of analysts and scrum masters. The role emphasizes technology adoption, process optimization, and continuous delivery of Data, AI, and BI products and services, while also ensuring alignment with business objectives and managing risks effectively.

Responsibilities

  • Develop and maintain strong, trust-based relationships with key stakeholders to understand their business challenges and identify how Data Solutions can support their objectives.
  • Manage centralized demand management by capturing all types of demand into a Consolidated Book of Work.
  • Engage with business stakeholders to solicit and manage requests that equitably handle competing priorities across business teams.
  • Manage incremental deliverables while centralizing important information to keep everyone informed.
  • Visualize dependencies across programs, projects, and BAU work to optimize delivery.
  • Track and mitigate risks to minimize surprises and improve communication across teams.
  • Create workplans and other key tracking mechanisms to provide visibility and insights into the portfolio.

Requirements

  • 10+ years technology industry experience in Banking & Financial Services sector
  • 5+ years' experience in Systems Analysis, Data Analysis
  • 5+ years of experience in data management, data analytics
  • 5+ years of Portfolio Management, Data Product Development, or Data Operations
  • Strong business and data acumen in Core Banking and Capital Markets products
  • Expertise in business requirements analysis, design, functional & detail design
  • Strong understanding of regulatory requirements (e.g. BCBS 239, GDPR)
  • Experience preparing user stories, data flows, and product technical specifications
  • Must have experience in Data analysis, including creating complex SQL queries
  • Experience with data warehousing and/or Data Lakes, and Data Marts
  • Proficiency in SQL, Handling Files using Python, Hive Query Language
  • Experience with relational Databases such as DB2, Oracle

Nice-to-haves

  • Experience with data governance tools such as Collibra
  • Exposure to Cloud technologies such as AWS, Azure
  • Experience with data models associated with financial data domains
  • Exposure to AI/ML

Benefits

  • Paid parental leave
  • Paid holidays
  • Health insurance
  • Tuition reimbursement
  • Retirement plan
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