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Tier-1 bank and Pune metro raise applicant density, but seniority and specialized data governance narrow the pool.
Requires banking data governance and regulatory knowledge, limiting cross-industry transferability.
Domain expertise in banking data governance required, but no explicit years or certifications specified.
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Own and maintain Private Bank contributions to Deutsche Bank's Enterprise Logical and Physical Data models, ensuring alignment with business needs.
Translate requirements from risk, finance, treasury, and regulatory reporting groups into compliant data models while coordinating with data producers and stakeholders.
Lead work streams from project planning through reporting to senior management, balancing regulatory compliance with business data value.
Experience in data modelling and architecture within the financial industry, specifically in the retail banking sector.
Strong understanding of data quality impacts on banking processes and regulatory compliance.
Project and stakeholder management experience, with ability to collaborate across global teams.
Work Experience Required: Not explicitly mentioned in the JD.
Familiar with data governance and data management in a large financial institution environment, especially relating to private banking and enterprise data models.
Able to work collaboratively with multiple internal stakeholders including business and IT teams, demonstrating coordination skills across geographic locations.
Capable of handling regulatory requirements and translating them into practical data architecture solutions aligned with group data policies.