Data Quality Lead

We are X, bigly labs, Dis\-Chem's high\-performance innovation hub; a place where bold ideas meet data, design, and radical customer focus to reimagine what healthcare can be. Our mission is to power the future of healthcare by lowering costs, unlocking new possibilities, and improving access to healthcare for all South Africans. We do this through cutting\-edge digital solutions that deliver smarter, more human, and truly patient\-focused experiences. Here, your work is not limited to a whiteboard; it becomes real. It drives decisions, shapes experiences, and moves healthcare forward. We are driven by one big question: How do we use data and today's technology to build breakthroughs to better health? There's only one question left: are you ready to make healthcare smarter, and actually mean it? The **Data Quality Lead** will build the organisation's data quality capability from a low base by establishing the practices, tooling, and culture needed to make data trustworthy and usable. Working as a core member of the Data, Analytics \& AI chapter, the Data Quality Lead will be the driving force behind lifting data confidence across the organisation, one data domain at a time. The Data Quality Lead will work directly with business teams, data engineers, and analytics practitioners to understand where poor data quality is causing real pain, prioritise ruthlessly, and fix things in ways that stick. The Data Quality Lead will balance tactical quick wins with the structural foundations that prevent problems from recurring. The Data Quality Lead is responsible for setting the strategic direction for enterprise data quality, leading a team of Data Quality Analysts, and embedding robust data quality standards across platforms and domains. This role serves as a centre of excellence for data quality practice, directly enabling strategic decision\-making, regulatory compliance, and AI readiness. The Lead will champion a data quality culture, own the enterprise data quality framework, manage stakeholder relationships at a senior level, and ensure the team delivers scalable, automated quality solutions aligned to modern data science and AI practices **WHAT WE'RE LOOKING FOR?** **Minimum:** * Bachelor's degree in, Computer Science, Information Systems, or a related field. * 5\+ years of experience in data quality, data management, or data engineering roles, with at least 2 years in a lead, senior, or supervisory capacity. * Demonstrated experience improving data quality in a real organisation, ideally one that was not already well\-governed. * Strong proficiency in SQL and Python; ability to interrogate data, profile datasets, and write validation logic. * Practical experience with data quality tooling (Great Expectations, dbt tests, Monte Carlo, Soda, or similar). * Familiar with modern data platforms (Snowflake, BigQuery, Databricks, or similar) and pipeline tooling (dbt, Airflow, or similar). * Comfortable working with data at source: understanding APIs,...