- Develop Data Quality rules using DQ tool features, SQL querying or through similar DQ tools.
- Develop and support the creation of data quality dashboards in Power BI by extracting data from various Global systems in Snowflake.
- Work extensively with collaborators to define requirements for continuous data quality monitoring.
- Provide extensive data analysis and profiling across a wide range of data objects.
- Conduct extensive data analysis/RCA to detect incorrect patterns in critical data early.
- Focus on high levels of process automation to ensure data and results are up-to-date.
- Focus on AI and M/L use cases to drive Data Quality
- Incident management of Data Quality issues.
- Facilitate matching or linking multiple data sources together for continuous DQ monitoring.
- Embed ongoing data quality monitoring by setting up mechanisms to track issues and trends.
- Train, coach, and support data owners and stewards in managing data quality.

Essential Skills/Experience

- Experience developing and supporting the creation of data quality dashboards in Power BI, by extracting data from various Global systems in Snowflake and develop rules for identifying DQ issues using Acceldata/Experian Aperture or something similar.
- Experience in Snowflake or similar for data lakes.
- Hands On Experience in Power Platform (Automate, Data Flows, Power App)
- Demonstrated experience & domain expertise within data management disciplines, including the three pillars of data quality, data governance and data architecture.
- Advanced programming skills in T-SQL/Snowflake SQL to support data quality rule creation.
- Advanced data profiling and Data analysis skills evidenced by use of at least one data profiling analysis tool. For example Experian Aperture, Snowflake, Attacama or Acceldata.
- Strong ETL automation and reconciliation experience.




- Up To Date on Using AI Agents using Copilot or something similar to leverage AI and drive DQ automation
- Expert in extracting and manipulating and joining data in all its various formats.
- Excellent visualizing experience, using Power BI or similar for monitoring and reporting data quality issues. Key aspect of the role is to create self-serve data quality dashboards for the business to use for defect remediation and trending.
- Excellent written and verbal communication skills with the ability to influence others. to achieve objectives.
- Strong desire to improve the quality of data and to identify the causes impacting good data quality.
- Experience of Business and IT partnering for the implementation of Data Quality KPIs and visualisations.
- Strong Team member management skills with a good attention to detail.
- Ability to work in quick-paced, dynamic environment and manage multiple streams of work simultaneously.
- Experience of working in a global organisation, preferably within the pharmaceuticals industry.
- Experience of working in global change projects.
- Extensive knowledge of data quality with the ability to develop and mature the data quality operating model and framework.
- Knowledge of at least one standard data quality tool. For example, Acceldata, Alteryx, Aperture, Trillium, Ataccama or SAS Viya.

Desirable Skills/Experience

- Using one of the following data lineage or governance tools or similar. For example, Talend or Collibra.
- Experience in working in a complex SAP MDG, ECC, S/4 HANA data environment.
- Experience of any of the following for data cleansing – Winshuttle or Aperture
- Working within a lean environment and knowledge of data governance methodologies and standards.
- Knowledge of automation and scheduling tools.
- Extensive knowledge of risk and data compliance.
- Experience in data observability using AI pattern detection.

📌 Data Quality Assurance (India)
🏢 Cognizant
📍 India