Job Details
JD : Strategize & define data measures, thresholds, rules, and controls and will be responsible to plan, create and maintain appropriate business rules documentation Lead Data Quality Analysis including Completeness, validity, timeliness, volume & trends Design Data Quality Framework (DQF) which provides an industry-developed best practices guide for the improvement of data quality and allows the organization to better leverage the data quality programs and to ensure a continuously improving cycle for the generation of master data Identify Data Quality issues as they occur, along with any risks, mitigation plan and proactive vulnerabilities within the database Produce timely progress indicators and dashboards for a project around the data quality Coordinate with BAU Data Quality Analysts as required Good knowledge and experience in Customer Hierarchy mapping along with Strategy Master Data Solutions Leading and managing delivery of the Data Quality Management roadmap, focused on the strategic build-out of the new Data Quality Management function and aligning the function to the Target Operating Model Understanding of the process and nuances of different entities, understanding of entity specific norms etc Establish and facilitate cross-functional Data Governance vision & expectations Supply Chain knowledge preferred Skill sets Preferred: Overall experience of around 10+years in Data Quality & governance related projects Strong experience in building & executing governance strategy Certification in Data Governance technologies for data quality, ETL Previous experience in database development and testing Business analysis experience Data Management platform (Talend, Informatica, etc) SQL, Databricks, ADF CI / CD deployment approach