Key Responsibilities:
Identifying and documenting Key Data Elements utilized in high profile dashboards, key business process and other ultimate use of data.
Work closely with stakeholders to understand business processes, IT architecture, data flows (particularly downstream effects) and document system of records (or authoritative data sources), Data Owners, Key Data Elements attributes, Data Lineage.
Together with Data Owners participate in the design and testing of data quality rules to be applied to each Key Data Element.
Maintain the Business Glossary and report inventory (regulatory reports and non-regulatory reports).
Capture data quality issues reported by stakeholders and input detailed information in the Data Quality Incident Management system for tracking purposes.
Produce and monitor Data Quality KPIs.
Support Root Cause analysis when a data quality issue is identified and / or process didn't work as expected.
Document business requirement for future system and/or workflow enhancements and relate such requirements to the Data Governance framework.
Work with data consumers to understand the source, creation process and purpose of data.
Qualifications And Skills:
Demonstrated experience in requirement gathering, documenting functional specification, designing testing scripts, conducting data analysis and gap analysis in tandem with Data Owners and other stakeholders
Ability to present facts, project plans, milestones, achievements and recommended solutions in a concise and intuitive manner.
Highly organized individual with exceptional attention to details, strong sense of accountability and collaboration skills.
Work Experience:
Relevant experience within the Data Governance field for a Financial Institution with focus on: documenting data requirements and data quality rules criteria; data quality issue logging and tracking.
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
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