Role description
Role- Data Governance
Location- Bangalore
Key Responsibilities
Data Governance, Lineage & Stewardship
Own and manage end-to-end data lineage from ERP RAW consumable KPI layers, ensuring traceability, transparency, and alignment with governance standards.
Maintain and curate data assets within data.world, ensuring datasets are accurately classified, documented, and contextually enriched.
Define, implement, and enforce metadata standards, including business definitions, lineage, and transformation logic across the data pipeline.
Partner with business and technical stakeholders to identify and steward critical data elements (CDEs) across all layers.
Establish and standardize business definitions, metrics, and KPIs, contributing to a governed semantic layer for analytics and AI.
Improve data discoverability, lineage visibility, and contextual clarity to enable trusted data usage.
Data Quality Management (End-to-End Pipeline)
Own data quality across the full data pipeline (ERP RAW consumable KPI), ensuring consistency, accuracy, and completeness at each stage.
Develop and maintain data quality rules, validations, controls, and scorecards, aligned to transformation layers.
Utilize SQL and Python scripting to perform data profiling, validation, reconciliation, and anomaly detection.
Identify, analyze, and lead resolution of data quality issues, performing root cause analysis across upstream and downstream systems.
Collaborate with engineering and business teams to validate transformation logic and ensure reliability of KPI outputs and AI datasets.
Establish proactive monitoring and automated checks to detect and prevent data defects early in the pipeline.
Data Catalog & Metadata Enablement (data.world)
Serve as a primary steward of the data.world platform, ensuring high-quality metadata, lineage mapping, and usability of cataloged assets.
Document and maintain end-to-end lineage relationships within data.world, connecting ERP sources to downstream datasets and KPI layers.
Leverage data.world APIs and integrations to support automation of metadata ingestion, lineage updates, and catalog curation.
Enable semantic consistency within the data catalog, ensuring alignment between technical data and business meaning.
Drive adoption of data.world by enabling self-service data discovery and trusted data usage.
Provide training, guidance, and support to stakeholders on catalog usage, lineage interpretation, and governance best practices.
Cross-Functional Collaboration & Influence
Collaborate with business, analytics, data engineering, and AI/ML teams to align data definitions, transformations, and KPI logic.
Translate business requirements into governed data models, semantic definitions, and quality controls.
Work independently while influencing stakeholders to adopt standardized definitions, governance practices, and trusted data sources.
Apply analytical thinking and domain expertise to resolve inconsistencies and improve data processes.
Maintain comprehensive documentation of data flows, lineage, semantic definitions, and governance controls.
Contribute to the continuous improvement and maturity of data governance practices, particularly in support of AI and advanced analytics.
Preferred Experience
Hands-on experience with data.world or similar modern data catalog platforms.
Strong understanding of data governance frameworks (e.g., DAMA-DMBOK).
Experience managing data lineage and quality across multi-layered architectures (ERP, data lakes, transformation layers, KPI/reporting).
Experience supporting or building semantic layers for BI and/or AI use cases.
Proficiency in SQL and Python for data analysis, profiling, and automation of data quality checks.
Experience working with APIs or programmatic interfaces for metadata and catalog automation.
Familiarity with modern data platforms (Databricks, Redshift, Athena).
Experience with data visualization tools (e.g., Power BI).
Knowledge of data privacy and regulatory standards (e.g., GDPR, CCPA).
Skills
data governance,data governance framework,data visualization tools,data processing,databricks,sql,python,
About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.
