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JPMorgan Data Strategy Architecture - Vice President 
India 
169643823

01.04.2025

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.