Data Governance

PAN india

exp 8 to 10 hyears

Technical Collaboration (Technical Appreciation)
Bridging Business and IT: Translate business data requirements and governance
policies into explicit, 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.

📌 Data Governance - Virtusa (India)
🏢 TRIGENT SOFTWARE PRIVATE
📍 India