Lead Data Analyst & Technical Product Manager for Risk & Finance , VP

MUFG; Jersey City (NJ); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is looking for a Lead Data Analyst & Technical Product Manager to drive their data product portfolio for Risk & Finance. This pivotal role involves executing data strategies, managing a team of analysts, and ensuring quality software deliveries. The ideal candidate will have a robust understanding of banking products and data, along with extensive experience in data warehousing and regulatory reporting. Join a dynamic team that values technology adoption, process optimization, and continuous delivery of innovative data solutions. This is an exciting opportunity to make a significant impact in a forward-thinking organization.

Qualifications

• 10+ years experience in Data Warehousing and Financial Services.
• Proven experience in a senior product management role using Agile.
• Strong understanding of regulatory requirements like BCBS 239.

Responsibilities

• Conduct analysis for Risk and Regulatory Reports.
• Gather and write Data Product requirements with stakeholders.
• Manage deliverables and maintain communication across teams.

Skills

Data Warehousing

Data Lakes

Data Marts

Credit Risk Reporting

Regulatory Reporting

Agile Methodology

SQL

Data Analysis

Problem-Solving

Communication Skills

Education

Bachelor’s Degree in Science or Business

MBA or Advanced Degree

Tools

Jira

Confluence

MS Office

Informatica

AWS

Tableau

PowerBI

Job description

Join to apply for the Lead Data Analyst & Technical Product Manager for Risk & Finance, VP role at MUFG

Job Summary:

We are seeking a well-rounded and motivated individual to join our Enterprise Data Capabilities Portfolio Management team to manage the data product portfolio for Risk & Finance Lines of Business. As a Lead Data Analyst, you will play a crucial role in executing our data strategy to design and implement new data products & services while supporting the current state. The candidate must have a strong functional and technical understanding of banking products and data that feed into Risk and Regulatory Reports. This individual will also lead a small team of business analysts and scrum masters, emphasizing technology adoption, process optimization, and continuous delivery of Data, AI, and BI Products & Services.

Responsibilities:

1. Conduct analysis and produce specifications for data & reporting needs for Risk Reports (Credit Risk, Liquidity Risk, Operational Risk, Compliance Risk, Reputation Risk, etc.) and Regulatory Reports (FFIEC002, 019, FR Y 2052a, FR Y-15)
2. Gather and write Data Product requirements through collaborative stakeholder partnerships.
3. Work closely with engineering organizations to ensure quality software deliveries, aligning with product visions and customer needs.
4. Develop and maintain strong, trust-based relationships with key stakeholders to understand their business challenges and identify how data solutions can support their objectives
5. Enable data discovery, data contextualization, data preparation, meaningful data-driven insights
6. Support Centralized Demand Management for Project and BAU work requests, ad hoc analytical requests from business partners, product ideas and create/maintain a holistic view of all work and resources.
7. Manage incremental deliverables while centralizing important information so that everyone’s always on the same page
8. Play an active role in scrums such as backlog refinement, sprint planning and execution
9. Spotlight issues that need attention. Proactively manage changes and issues

Required Skillset/Experience:

1. 10+ years overall experience with deep functional and technical understanding and implementation experience with Data warehousing and/or Data Lakes, and Data Marts
2. 5+ years of most recent experience in Banking & Financial Services sector
3. Proven experience in a senior product management role, using Agile methodology
4. Experience in Credit Risk Reporting and Regulatory Reporting and associated data
5. Strong understanding of regulatory requirements (e.g. BCBS 239, GDPR, etc.)
6. Experience with packaged software solutions such as Axiom, Workiva, etc. is a plus
7. Experience preparing user stories, data flows, and product technical specifications
8. Expertise in Data analysis, including creating complex SQL queries
9. Experience in Jira, Confluence, MS office
10. Knowledge of Data Integration/ETL tools (Informatica, Glue, etc.)
11. Proficiency in SQL, and relational databases such as Oracle, SqlServer, DB2
12. Exposure to Cloud technologies such as AWS
13. Expertise in data visualization tools such as Tableau, PowerBI, etc.
14. Strong problem-solving skills, communication and collaboration skills
15. Strong presentation skills with demonstrated ability in building consensus across stakeholders

Education:

Bachelor’s degree in science or business or management or finance related fields. MBA or advanced degree is a plus.