Sysmedac is seeking a Data Quality Manager to oversee and enhance data integrity, accuracy, and consistency across various organizational systems. This role involves implementing data governance frameworks, developing data quality strategies, and ensuring compliance with industry best practices.

Key Responsibilities:

Data Quality Management & Strategy:

• Assess current data quality across systems and identify areas for improvement.

• Define and implement a data quality strategy aligned with business goals.

• Establish data quality metrics for accuracy, completeness, consistency, and timeliness.

• Develop a roadmap for data quality improvements with clear objectives and timelines.

• Set up automated data quality controls to ensure ongoing quality management.

Data Profiling & Root Cause Analysis:

• Conduct data profiling to understand structure, detect anomalies, and gather insights.

• Perform root cause analysis to identify data inconsistencies and define corrective actions.

Metadata Management & Enrichment:

• Populate and maintain the data catalog with metadata from various sources.

• Work with data stewards and business units to enrich metadata with business definitions.

• Implement quality controls to ensure metadata accuracy and completeness.

Data Governance & Compliance:

• Ensure adherence to data governance principles and industry frameworks (e.g., DAMA DMBOK).

• Develop and enforce standards for data validation, cleansing, and deduplication.

Tools & Technology Implementation:

• Evaluate and recommend data quality tools (preferably OvalEdge).

• Oversee the implementation and configuration of data quality monitoring solutions.

• Train stakeholders on data quality tools and best practices.

Reporting & Communication:

• Develop data quality reports and dashboards for key stakeholders.

• Conduct training sessions and workshops to promote data quality awareness.

• Collaborate with IT teams to automate data validation and monitoring processes.

Qualifications & Requirements:

• Proficiency in data quality tools, profiling tools, and data cleansing software.

• Strong SQL skills with experience in databases like SQL Server, Oracle, and MySQL.

• Experience with ETL processes and data integration technologies.

• Knowledge of data governance principles and frameworks.

• Excellent communication skills to engage technical and non-technical stakeholders.

• Adaptability to emerging data quality tools and methodologies.

Join Sysmedac and play a critical role in ensuring data integrity and governance within a fast-paced environment!