Associate Manager Data Governance & Quality

Ralph Lauren; Bengaluru; Hybrid; INR 1,500,000 - 2,500,000; Full time

Job summary

Ralph Lauren is seeking a data governance professional in Bengaluru to strengthen data quality and metadata practices. The role focuses on implementing automated checks, improving data lineage, and maintaining governance documentation across critical data domains.

The candidate will work with teams to ensure data quality and regulatory compliance, leveraging tools like Soda and Atlan, and will contribute to master data governance and catalog activities.

Qualifications

• Bachelor's degree in CS/IS/Engineering or related field.
• 4-7+ years in data governance, data quality, or related analytical roles.
• Hands-on with data quality tooling: Soda or equivalent tools (e.g., Great Expectations, Monte Carlo).
• Experience with data catalogue and metadata platforms: Atlan or equivalent (Collibra, Alation, Purview, Informatica EDC).
• Strong SQL skills to investigate and validate data quality issues.
• Understanding of data quality dimensions and root-cause analysis.
• Experience maintaining business glossaries, lineage, and ownership metadata.

Responsibilities

• Develop and implement automated data quality checks across priority data products.
• Identify and resolve data quality issues quickly with stakeholders.
• Improve completeness and accuracy of metadata, lineage, and catalogue documentation.
• Support governance efforts by maintaining glossary, lineage, and ownership records.

Skills

Bachelor's degree

SQL skills

Data governance

Data quality

Root-cause analysis

Glossary and lineage metadata

Power BI (governance)

Education

Bachelor's degree in CS/IS/Eng

Masters preferred

Tools

Soda

Great Expectations

Monte Carlo

Collibra DQ

Informatica DQ

Atlan

Job description

Qualifications

Required

• Bachelors degree in Computer Science, Information Systems, Engineering, or a related field. Masters degree preferred.
• 4-7+ years of experience in data governance, data quality, data management, or related analytical roles.
• Hands-on experience with data quality tooling: Soda, or equivalent (Great Expectations, Monte Carlo, Collibra DQ, Informatica DQ, Anomalo, Ataccama).
• Experience with data catalogue and metadata platforms: Atlan, or equivalent (Collibra, Alation, Purview, Informatica EDC).
• Strong SQL skills, with the ability to investigate and validate data quality issues directly.
• Strong grasp of data quality dimensions (completeness, validity, consistency, timeliness) and root-cause analysis.
• Experience maintaining business glossaries, lineage, and ownership metadata to a documented standard.

Preferred

• Experience working with enterprise data platforms such as Databricks and Azure.
• Familiarity with data privacy, compliance, or regulatory requirements relevant to enterprise data.
• Familiarity with data classification and sensitivity labelling.
• Experience in retail, consumer goods, or other data-intensive industries.
• Exposure to Power BI or other BI tools from a governance and quality perspective.

Success Measures

• Growing coverage and reliability of automated data quality checks across priority data products.
• Faster identification and resolution of data quality issues.
• Improved completeness and accuracy of metadata, lineage, and catalogue documentation.
• Positive stakeholder feedback on governance support and responsiveness.