DATA QUALITY Manager

KEY RESPONSIBILITIES

•        Design and implement an enterprise data quality framework covering dimensions: accuracy, completeness, consistency, timeliness, validity, and uniqueness.

•        Define data quality rules, thresholds, and SLAs for critical data domains (customer, product, finance, operations).

•        Build and configure automated data quality monitoring pipelines using DQ tooling (Great Expectations, Talend DQ, Informatica DQ, or equivalent).

•        Develop data quality scorecards and dashboards for business and technical stakeholders.

•        Conduct root-cause analysis on data quality issues and drive remediation through structured workflows.

•        Collaborate with data engineers to embed quality checks within data pipelines (ingestion, transformation, serving layers).

•        Define and manage a Data Quality Issue Register, tracking defects from discovery through to resolution.

•        Partner with governance and catalog teams to integrate quality metrics into the enterprise data catalog.

•        Lead data quality working groups and build DQ awareness across data stewards and business users.

Skills

•        4+ years (AM) / 7+ years (Manager–SM) in data quality, data engineering, or data management roles.

•        Hands-on experience with DQ tooling: Great Expectations, Informatica DQ, Talend, Monte Carlo, or equivalent.

•        Strong SQL skills; experience writing complex data quality validation queries.

•        Understanding of data quality dimensions (DAMA-DMBOK) and their measurement methodologies.

•        Experience with cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery) for DQ pipeline implementation.

•        Ability to translate DQ findings into business-impact narratives for non-technical stakeholders.

•        CDMP or equivalent data quality certification preferred.