CAREERS

Consultant, Data Governance

📁
Operations/Securities
📅
83089 Requisition #
Under general supervision (but works independently most of the time) responsible for improving data quality across the organization by implementing and maintaining an institutional data governance structure and data quality methodology. Helps establish policies, standards and processes that will be developed and maintained to support the data governance function. Consults on data quality improvements across the organization. Advocate for the adoption of rigorous data quality management. 1.Develop tools and processes used to maintain a common, data standard across the organization.2.Assess, manage, maintain strategies that reduce data redundancy and increases the consistency / confidence of data used for decision making; improving knowledge firm-wide.3.Define and deliver data management standards, processes and controls and content for the creation and maintenance of common data dictionaries.4.Participates in periodic reviews to ensure continued compliance with the data governance policies (includes compliance assessments, monitoring and control testing).5.Resolves conflicting priorities among data owners, data consumers and custodians within sphere of the domain.6.Collaborates with partners across the organization in maintaining the data governance and data quality structures ensuring we are meeting business needs while balancing quality, risk and cost.7.Able to serve as a key subject matter expert and mentor to other more junior level employees.8.More technically sound in area of expertise and has broader knowledge of other areas.9.Delivers a work product that requires less revision.
A College or University degree and/or relevant proven work experience is required / preferred. Related Industry qualification (e.g. ACCA) is required / preferred. •Knowledge of Data Governance, Data Quality, and Enterprise Data Management concepts. •Understand and be capable of effectively communicating the role of Data Governance to both business and technical communities within the sphere of the data domain.•Excellent oral and written communication skills are required. •In-depth Functional / Industry Knowledge is required.•Highly flexible and adaptable to change. •Technical skills / systems knowledge (e.g. Peoplesoft) is required.

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