Capco

DataQualityTransformationSpecialist

Bengaluru, India
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Quality Transformation Specialist at Capco. Skills: Data Quality, Data Governance, metadata management, business glossary, digitisation, transformation initiatives. Drive transformation initiatives to modernise the Data Quality (DQ) ecosystem. Reduce manual processing through automation and digitisation of DQ activities”

What You'll Achieve.

reducing and replacing manual processes; enhance existing DQ tools and frameworks; modernise the Data Quality (DQ) ecosystem; Reduce manual processing through automation and digitisation of DQ activities; align DQ initiatives with organisational goals

Industry & Context.

Problems you'll solve

analytical and problem-solving skills

What They're Looking For.

Must Have

8–14 years of experience in Data Quality, Data Governance, or related domains, 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, analytical and problem-solving skills, Ability to work collaboratively with cross-functional teams (Business & Technology), Excellent communication and stakeholder management skills

Nice to Have

Experience in financial services or consulting environments, Familiarity with data governance frameworks and regulatory requirements, Exposure to automation tools or data engineering concepts

What You'll Do.

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

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

How You'll Work.

Team & Collaboration

Work closely with technology teams; Collaborate with technology teams; Work with stakeholders across business and technology; Ability to work collaboratively with cross-functional teams (Business & Technology)

Communication Scope

Excellent communication and stakeholder management skills

Full Job 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

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