Data Quality Manager

Job Description

Roles Responsibilities : Data Quality, Modelling Design Thinking Lead, mentor, and inspire a team of data analysts and engineers, fostering a collaborative, innovative, and high-performance culture. Oversee the design, implementation, and continuous improvement of data quality models using SAP MDG, Azure, and Power Platform technologies. Guide the team to develop appropriate conceptual data models foundational to physical data model creation. Engage closely with technology and business stakeholders to gather requirements, identify improvement areas, and clearly articulate the business value of data quality use cases including cleansing, validation, and enrichment. Demonstrate deep understanding of the Data Quality value chain from Critical Data Elements (CDEs) to Data Quality KPIs and how it integrates with overarching Data Governance frameworks. Lead and manage within this context effectively. Facilitate workshops and training sessions to promote data quality awareness, best practices, and a culture of continuous improvement across the organization. Conduct performance evaluations, provide coaching, and identify opportunities for the professional development of team members. Proactively identify and escalate data quality risks or hidden issues to the Data Quality Manager for resolution. Dashboarding Workflow Management Conceptualize, design, and deploy robust data quality dashboards using Power BI to monitor and visualize data health effectively. Develop escalation paths and workflows with alerts that notify process and data owners of unresolved data quality issues, ensuring timely remediation. Collaborate with IT and analytics teams to incorporate cutting-edge technologies such as AI, Machine Learning, and cognitive science to enhance data quality monitoring and automation. Data Quality Improvement Plans Partner with business functions and projects to develop and embed sustainable data quality improvement plans, fostering business ownership and accountability. Define and track measurable targets for data quality maturity, actively monitoring progress and intervening when improvements fall short of expectations. Support data clean-up initiatives that improve the accuracy and reliability of existing data landscapes. Project Delivery Oversight Lead and coordinate Data Quality Analysts in executing data profiling, conversion criteria establishment, and resolution of complex technical and business data quality issues. Own the detailed project delivery plan for multiple concurrent data quality programs, ensuring clarity on roles, responsibilities, and timelines using effective RACI frameworks. Drive cross-functional alignment and successful delivery of data quality objectives within large-scale enterprise programs.