Data Governance

Technical Collaboration (Technical Appreciation)
Bridging Business and IT: Translate business data requirements and governance policies into clear actionable technical specifications for IT and Data Engineering teams.
Data Lineage & Cataloging: Work with data architects to map end-to-end data lineage (system-of-origin to system-of-consumption) and support the population of the Enterprise Data Catalog.
Tooling Oversight: Evaluate and maximize the ROI of technical data governance and data quality tools. Review outputs from data profiling and automated quality checks.
Querying & Validation: Perform lightweight data profiling and validation to verify data quality issues independently before escalating to engineering teams.

Required Qualifications & Experience
Domain Expertise: 8 years of total experience with a minimum of 4 years specifically in Data Governance Data Stewardship or Data Quality within the Banking and Financial Services sector.
Subject Matter Expert: Deep understanding of banking products processes and regulatory reporting requirements (e.g. AML KYC Risk Management).
Strategic Execution: Proven track record of drafting data policies defining CDEs and successfully establishing a network of data stewards.
Communication: Exceptional stakeholder management skills with the ability to translate complex technical constraints into business realities and vice-versa.
Certifications: Certifications such as CDMP (Certified Data Management Professional) or equivalent are highly preferred.
Technical Skills & Appreciation
Query Languages: Foundational ability to read and write SQL to query databases perform basic data profiling and validate data sets independently.
Governance Tooling: Familiarity and hands-on conceptual knowledge of industry- standard enterprise tools such as Informatica (Axon EDC IDQ) Collibra or Alation.
Data Architecture Concepts: Strong conceptual understanding of Relational Databases Data Warehousing Data Lakes and Cloud infrastructure (AWS/Azure) to effectively converse with technical architects.
BI & Reporting: Appreciation for Business Intelligence tools (Power BI Tableau) to design and interpret data quality dashboards.