Enterprise Data Management

Responsibilities

•Create data quality dashboard, tooling, and functionality
•Assess data quality and ensure policies and standards are followed
•Identify data quality lapses, perform root cause analysis, and develop remediation plans
•Define business rules and measures (e.g., uniqueness, coherence) for quality
•Maintain conceptual and logical data models for all data types, incl. master/reference data, transaction data, derived data, and discovery data
•Define strategy and architecture for data
•Layout systems of record by data domain (e.g., golden sources)
•Support selection and implementation tools for data governance automation
•Owns and maintains the data dictionary
•Approves definitions and lineage developed for different data domains
•Define and revise high-level data map
•Identify metadata attributes required to track data quality, tag classifications, and track lineage
•Identify data elements and technical data elements inside data domains

Qualifications

•Bachelor's Degree, preferably in an analytical field - e.g. IT, Operations, Business, Mathematics, Statistics, Finance.
•Must have at least two years professional experience working on strategic and analytical projects in a related domain.
•Communication and presentation skills, including an ability to effectively communicate with both internal and external stakeholders.
•Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations
•Ability to deal with high level of ambiguity
•Basic skill require ie. Database concept, SQL, Data mining is a must.
•Have skill Data modeler, Data analytics, Machine Learning, AI will be an advantage.
•Experience in e-commerce/on-line companies in fraud / risk control functions
•Cloud computing experience/knowledge

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