JPMorgan Data Strategy Architecture - Vice President 

India 

169643823

Job Responsibilities

• Oversee the development and management of data products to meet business needs, ensuring they are discoverable and reusable.
• Collaborate with stakeholders to define data product content and align with enterprise data strategy.
• Drive initiatives to ensure data quality, accuracy, and timeliness, enhancing decision-making and supporting AI/ML implementation.
• Lead efforts to make data consumable, enabling users to find, access, and use high-quality product data efficiently.
• Ensure compliance with regulatory, security, and data risk standards, maintaining proper classification and adherence to governance.
• Partner with the Chief Data Office to manage data risks, improve data quality, and enhance data documentation and registration.
• Foster a data-centric culture, unlocking new capabilities and features, and accelerating analytics and AI/ML initiatives.
• Contribute to the development of a comprehensive Firmwide Data & Analytics Platform, integrating services through a common metadata management system.

Required qualifications, capabilities and skills:

• Proven experience, a minimum of 10 years, in data product management, data governance, or a related field, within a large financial institution.
• Strong understanding of data management practices, proactive and reactive data quality, data lineage and AI/ML readiness.
• Experience working on the data mesh, with a deep understanding of its principles and implementation.
• Experience in developing and managing data products, with a focus on discoverability and reusability.
• Excellent stakeholder management skills, with the ability to collaborate across diverse teams and promote firmwide alignment.
• Strong analytical and problem-solving skills, with the ability to navigate complex data ecosystems and deliver strategic solutions.

Preferred qualifications, capabilities and skills

• Advanced degree in Data Science, Computer Science, Information Systems, or a related field.
• Experience with data cataloging, data lakes, and metadata management systems.
• Familiarity with regulatory requirements and data risk management in the financial industry.
• Strong leadership skills, with the ability to influence and drive change across the organization.
• Excellent communication and presentation skills, with the ability to articulate complex data concepts to non-technical audiences.