JPMorgan Product Manager- Vice President 

India, Karnataka, Bengaluru 

328955620

The assignment requires a significant experience and domain knowledge of securities reference data especially market sector and industry classifications covering all asset classes, mastering concepts and data usage in downstream consuming systems. The analysis work will be performed under an ecosystem of systems that includes GIM, Manta, EDPI/RADIX, OMNI, Olympic & Midori and constant liaison with adopting application hubs including Galaxy, Newton, Sparta, Open Invest etc.

Roles and Responsibilities

• Co-coordinating with tech and business to obtain requirement for build
• Provide clear requirement for data model, with apt attribute name and definitions as per the standard.
• Initiate and lead working group with technology and business to develop success criteria for the product delivery and maintain cadence of meeting to track progress.
• Perform in-depth analysis and build data transformation documents to ease adoption of data from legacy to strategic.
• Develop operating models to support required level of controls in the end-to-end data flow
• Ability to recommend and implement required tools to maintain high level of transparency through reporting
• Document and track project reporting metrics and scorecards

Key Relationships

• Chief Data Officer
• Data Governance Lead
• Chief Information Architect
• Technology Leads and teams
• Operations partners AWM and FW
• Business Management
• Portfolio Managers/Investor Specialists and Research Analysts
• Data Domain Leads
• Data Domain Stewards
• Extended Technology partners and teams
• Finance, Risk & Compliance partners and teams

Qualifications

• Minimum of 15 years of industry experience with least 7 yrs in a financial services organization, with data project management experience e.g. business analysis and Data/system migration projects
• Deep knowledge of data domains (Including Securities, Party & Product data needed by an asset & wealth management organization.
• Strong Knowledge of best practices for Business Requirements Documents (BRD’s)
• Proven ability to translate requirements into data modelling, adhering to firm-wide architectural standards, such as logical to physical data modelling
• Thorough understanding of the financial services industry and businesses e.g., buy side/Sell side as well as related operations and technology functions
• Awareness of data domain aspects across industry
• Background in data management practices, business and technology issues related to management of enterprise information assets and data quality framework
• Ability to break down complex problems and projects into manageable pieces
• Ability to get to the root cause of the problem and recommend resolution alternatives
• Highly skilled in productivity tools e.g. PowerPoint, Excel, Visio and project
• Experienced in creating presentations for senior management

Desired Skills

• Data Management: Strong understanding of data management principles and practices.
• Technical Skills: Proficiency in data management tools, databases, and data quality tools.
• Analytical Skills: Ability to analyze data and identify patterns, trends, and anomalies.
• Communication: Strong communication skills to articulate data policies and practices to stakeholders.
• Attention to Detail: High level of attention to detail to ensure data accuracy and quality.
• Problem-Solving: Strong problem-solving skills to address data-related issues effectively.