Data Quality Manager - September 2026
Remote
Job Summary
Assess and visualize data quality through dashboards, scorecards, and KPIs while defining dimensions, business rules, and measurement methodologies. Establish governance models for continuous monitoring, analyze large datasets to detect anomalies and root causes, and apply AI techniques to generate actionable recommendations. Collaborate with global master data owners to define structures and harmonize standards, design conceptual and logical data models, and ensure data quality is embedded in interface implementations. Define global processes for data creation, facilitate workshops with stakeholders, and lead root-cause investigations to drive corrective actions. Deliver a data quality roadmap, monitoring framework, and adoption support materials for a 40-hour/week remote engagement starting September 1, 2026, within the pharmaceutical industry.
Required Qualifications
- Bachelor's or Master's degree in one of the following: Information Management, Data Science, Computer Science, Business Informatics, Life Sciences, Related field
- 5+ years of experience in one or more of the following areas: Data Quality Management, Data Governance, Data Analytics, Data Architecture, Master Data Management
- Proven experience with: Data modelling, Data governance programs, Cross-functional stakeholder management, Global process design and rollout, Dashboard development and KPI frameworks
- Strong data analysis capabilities
- Experience with data visualization platforms such as Power BI
- Knowledge of master data management concepts and governance frameworks
- Experience with data quality tools and monitoring solutions
- Understanding of system interfaces, APIs, and enterprise data architecture
- Practical experience applying AI or Machine Learning techniques to data analysis and monitoring
Desired Qualifications
- Experience in regulated environments, particularly GxP, pharmaceutical, or healthcare
- Knowledge of Quality Management Systems, LIMS, SAP QM, Veeva, or related enterprise platforms
- Experience working on global transformation or digitalization programs
- Strong analytical and problem-solving mindset
- Ability to translate business requirements into data-driven solutions
- Excellent workshop facilitation and stakeholder management skills
- Strong communication and change management capabilities
- Ability to work independently within complex global organizations
- Hands-on mentality with a strong focus on delivery and measurable outcomes
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