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Senior Data Quality Transformation Specialist – drive digital transformation & automation in Bengaluru.
Lead modernization of DQ ecosystem, automate metadata and business glossary with Rosetta and DQMA.
Title
Title: Data Quality
Location
Location: India - Bengaluru
Description
Job Title: Data Quality Transformation Specialist
Experience: 8–14 Years
Location: Bangalore / Chennai
Role Overview: We are seeking experienced professionals to support the digitisation and transformation of the Data Quality (DQ) landscape. The role focuses on reducing and replacing manual processes, particularly in areas such as metadata management and business term development. The candidate will work closely with technology teams to enhance existing DQ tools and frameworks.
Key Responsibilities
Drive transformation initiatives to modernise the Data Quality (DQ) ecosystem
Reduce manual processing through automation and digitisation of DQ activities
Manage and enhance metadata frameworks, including business glossary and data definitions
Develop, standardise, and maintain business terms and data quality rules
Collaborate with technology teams to enhance DQ tools such as Rosetta and DQMA
Identify opportunities for process optimisation and efficiency improvements
Support implementation of best practices in data governance and data quality management
Work with stakeholders across business and technology to align DQ initiatives with organisational goals
Required Skills & Experience
8–14 years of experience in Data Quality, Data Governance, or related domains
Strong understanding of metadata management and business glossary frameworks
Hands‑on experience with Data Quality tools (e.g., Rosetta, DQMA, or similar platforms)
Experience in digitisation and transformation initiatives
Strong analytical and problem‑solving skills
Ability to work collaboratively with cross‑functional teams (Business & Technology)
Excellent communication and stakeholder management skills
Preferred Qualifications
Experience in financial services or consulting environments
Familiarity with data governance frameworks and regulatory requirements
Exposure to automation tools or data engineering concepts