Data Quality/Product Manager

📊 Role DescriptionWe are looking for a strategic and data-focused Data Quality/Product Manager to drive data quality, product excellence, and continuous improvement across data-driven products and services. 🧩🚀 The role combines product management, data governance, quality management, and stakeholder collaboration to ensure data is accurate, reliable, accessible, and fit for purpose.Key responsibilities include:🎯 Defining product vision, goals, priorities, and roadmaps with a strong focus on data quality and business value.📊 Establishing and monitoring data quality standards, KPIs, metrics, and performance indicators.🔍 Identifying data quality issues, root causes, gaps, inconsistencies, and improvement opportunities.🧩 Translating business and user needs into clear product requirements, data rules, and acceptance criteria.📝 Managing product backlogs, priorities, specifications, and quality-related initiatives.🔄 Designing and improving data quality processes, controls, validation rules, and monitoring frameworks.🤝 Collaborating with data engineers, analysts, developers, business teams, governance teams, and other stakeholders.🛡️ Supporting data governance, privacy, security, compliance, and responsible data-management practices.📈 Using data insights and product analytics to guide prioritization and continuous improvement.🧪 Supporting testing, validation, release readiness, and quality assurance for data products and features.📋 Creating dashboards, reports, documentation, and quality assessments for key stakeholders.💡 Identifying opportunities for automation and process optimization to improve data reliability and operational efficiency.🚀 Driving a culture of continuous improvement, customer focus, and data-driven decision-making.🎓 Qualifications✅ Degree or relevant qualification in Data Science, Computer Science, Information Systems, Business, Statistics, or a related field.📊 Strong understanding of data quality principles, data management, governance, and product management.🧠 Strong analytical, critical-thinking, and problem-solving skills.🔎 Knowledge of data quality dimensions such as accuracy, completeness, consistency, validity, uniqueness, and timeliness.💻 Familiarity with databases, SQL, data analytics, BI tools, and modern data platforms.🎯 Understanding of product lifecycle management, Agile methodologies, prioritization, and roadmap planning.🧩 Ability to