Data Solutions Operations – Vice President

JPMorgan Chase & Co.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A top financial institution in Singapore seeks a Vice President for the Data Solution Operations team. This role involves managing end-to-end data processes, driving analytics, and collaborating with various teams to ensure high data quality. Candidates should possess a Bachelor’s degree and at least 8 years of relevant experience. Strong analytical skills, proficiency in tools like SQL and Excel, and excellent communication abilities are essential. This position offers the chance to influence the data-driven transformation within the organization.

Qualifications

• 8+ years experience in Fund Accounting, Asset Management, or Finance.
• Strong analytical and problem-solving skills required.
• Excellent communication and interpersonal skills needed.

Responsibilities

• Perform daily file monitoring for dataset delivery.
• Manage Business As Usual (BAU) exceptions and root cause analysis.
• Collaborate with Technology and Product Owners for solutions.

Skills

Analytical skills

Communication skills

Problem-solving skills

Microsoft Office Suite proficiency

Data analysis tools proficiency

Education

Bachelor's degree in Business, Information System, Technology

Tools

Tableau

Python

SQL

Alteryx

Visio

Confluence

Job description

Are you ready to lead the charge in data-driven transformation? Join our Data Solution Operations team as a Vice President, where you'll be at the forefront of redefining the traditional operating model through cutting-edge data management and analytics. This is your opportunity to work with market-leading tools, collaborate with diverse teams, and drive innovation across the investment lifecycle. Elevate your career with us and be part of a team that values growth, creativity, and excellence.

As a Vice President within the Data Solution Operations team, you will oversee end-to-end data management, analytics, and reporting for institutional investors. You will lead efforts to ensure data quality, manage business as usual exceptions, and implement strategic solutions. This role offers you the chance to collaborate with technology and product teams, support data mining and analytics, and drive data-driven decision-making across the organization.

Job responsibilities

• Perform daily file monitoring to ensure each dataset and product is delivered to end user and/or client
• Manage Business As Usual (BAU) exceptions, identifying root cause teams and working closely with appropriate teams to resolve exceptions
• Work directly with Technology, Product Owners and Source Teams to identify and implement strategic solutions
• Support data mining and analytics to help define process flow and best practices
• Create the ongoing governance and controls for BAU processes
• Create and produce meaningful metrics reporting to share with senior audiences
• Document process flows
• Create Standard Operating Procedures
• Analyze and interpret complex data sets to derive meaningful insights
• Identify trends, patterns, and correlations to support data-driven decision-making
• Facilitate communication and collaboration across various teams to drive exception resolution

Required qualifications, capabilities, and skills

• Bachelor's degree in Business, Information System, Technology, or relevant disciplines
• At least 8 years of experience in Fund Accounting, Asset Management, Collateral, Custody, Sustainable Investing, Reference Data, Middle Office, or Finance
• Strong analytical and problem-solving skills: Ability to analyze complex business problems, identify root causes, and propose effective solutions
• Excellent communication and interpersonal skills: Ability to communicate clearly and effectively with stakeholders at all levels
• Microsoft Office Suite: Proficiency in using applications such as Word, Excel, PowerPoint, Teams and Outlook for documentation, data analysis, presentations, and communication
• Data Analysis Tools: Proficiency in tools like Excel, Visio, SQL, Alteryx, querying databases & Confluence

Preferred qualifications, capabilities, and skills

• Knowledge of Tableau
• Knowledge of Python/Jupyter Notebook
• Knowledge/use of Collibra (previously OWL DQ)
• Experience working in data management at an Asset Manager firm
• Fluency in Japanese will be an advantage to communicate and deal with clients in/from Japan