Job Description

• Collaborate with stakeholders to understand data needs/challenges and translate into business requirements for strategic solutions

• Support the process for sourcing external data ensuring adherence to data onboarding requirements

• Perform data profiling, define data quality rules and validations, and conduct root cause analyses for identified data quality incidents and/or threshold breaches

• Enhance the problem management process to identify, review, remediate and escalate data quality incidents to impacted stakeholders

• Create dashboards and visualizations using business intelligence tools that are comprehensive and scalable to monitor data health

• Identify critical data elements and define requirements to be considered as part of operational prioritization and planning

• Define, implement and maintain metadata and reference data standards and best practices to support data governance

• Enhance metadata management processes and repositories to ensure the accuracy and completeness of metadata documentation

• Partner with product and technology teams to develop conceptual and logical data models and document data flows

• Support strategic initiatives related to data warehousing and data lake implementation

Requirements

• Experience in data governance and data management domains such as data quality, reference data management, metadata management, etc.

• Strong understanding of data governance principles and data quality management concepts and best practices

• Experience with data quality programs and data profiling, data cleansing and data remediation techniques

• Experience collaborating with cross-functional teams and supporting strategic / business transformation projects

• Proficient with analytics, business intelligence and reporting packages such as Alteryx, Tableau, Qlik, UI Path or ThoughtSpot

• Proficient with data extraction, data mapping, conversion, analytics, and manipulation techniques / languages (e.g. SQL, R, Python)

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