Data Governance

Data Governance - (CREQ
257395) 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.

• 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.

• 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.