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Jobfoundry
UOB

Senior VP, Head of Data Discovery, Data Management Office, Innovation Group

UOB
BusinessCentral Region (City Area)Full-time4 days ago
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About the role

AI summarised

Senior VP leading Data Discovery within the Data Management Office of a major bank's Innovation Group. Responsible for defining and executing the data discovery strategy, building capabilities, and ensuring data assets are discoverable, understandable, and trusted across the organization.

BusinessFull-timeGeneral

Key Responsibilities

  • Define and execute the data discovery strategy and roadmap aligned with the bank's data management and innovation objectives.
  • Lead the design and implementation of a comprehensive data catalog and metadata management framework.
  • Drive adoption of data discovery tools and practices across business and technology teams.
  • Establish data lineage and data quality processes to ensure trustworthiness of data assets.
  • Collaborate with data stewards, data owners, and business stakeholders to identify and prioritize data discovery use cases.
  • Manage and mentor a team of data discovery specialists and data engineers.
  • Monitor industry trends and emerging technologies in data discovery and metadata management.
  • Ensure compliance with data governance policies, regulatory requirements, and data privacy standards.
  • Report on data discovery metrics and progress to senior management and governance committees.

Requirements

  • 15+ years of experience in data management, data governance, or related fields, with at least 5 years in a leadership role.
  • Deep expertise in data discovery, metadata management, data cataloging, and data lineage tools (e.g., Collibra, Alation, Informatica, or similar).
  • Strong understanding of data governance frameworks, data quality, and data privacy regulations (e.g., GDPR, SOX).
  • Proven track record of driving data discovery initiatives in a large, complex financial institution.
  • Excellent stakeholder management and communication skills, with ability to influence at all levels.
  • Strategic thinker with ability to translate business needs into technical solutions.
  • Experience with cloud data platforms (AWS, Azure, GCP) and big data technologies.
  • Knowledge of data architecture, data modeling, and data warehousing concepts.
  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or related field.
  • Relevant certifications (e.g., CDMP, DGSP) are a plus.