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HSBC: Data Tech Lead - Virtualization (Kraków)

Oferta archiwalna

Data Tech Lead - Virtualization

Bezpośrednia
  • HSBC
  • Kraków
  • 10.12.2025

Podsumowanie oferty:

  • Branża

    Bankowość / Finanse / Fintech
  • Rodzaj umowy

    UoP
  • Doświadczenie

    Senior
  • Technologie i Narzędzia

    Data governance, Data Technology Lead, Reference Data, Data Lifecycle Management, Data Quality Measures, Data Cloud Readiness, Enterprise Architecture

Opis oferty:

We are seeking a seasoned and strategic Data Technology Lead – Reference Data for the driving the strategy and run-time (Run the Bank) operation of the Reference Data product and services. The role will require gaining of insight into internal/external customer needs and champion preferences in order to direct the Technology product vision to build. Additionally, the Lead will assist in the championing of the product with internal stakeholders and ensures that the Reference Data product and supporting operating model(s)/processes are fit for purpose and reflect the needs of the customers. This is a high-impact leadership role interfacing across business, technology, CDO, and regulatory stakeholders to ensure timely, accurate, and compliant reference data management at global scale.

Wymagania:

  • Lead the global strategy and technology platform delivery for Reference Data
  • Ensure creation and ongoing management of the reference data system throughout the data lifecycle
  • Lead the discussions on co-design opportunities with global businesses/ functions
  • Design and govern data mastering rules, identity resolution logic, and golden record formation to establish a consistent, high-quality data truth
  • Deliver platform capabilities for reference data change monitoring using internal and external data sources
  • Oversee provisioning of mastered reference data to consuming systems through standardized APIs, EDAs, and event-based patterns
  • Ensure platform scalability, resilience, and compliance across global markets, adhering to data localization, privacy regulations and other applicable regulations
  • Partner with business, CIOs, CDAO, and risk stakeholders to meet critical business and regulatory use cases
  • Embed data governance, metadata management, lineage, and control mechanisms to support audits, lineage, and data usage transparency
  • Drive architectural modernization, automation, and cloud-readiness of the reference data platform
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