Risk Management Analyst (Data Governance)

New York, NY 10017

Employment Type: Direct Hire Industry: IT/Infrastructure/Network Job Number: 345

Job Description

A very high profile but mid-sized Asset Management firm seeks Risk Management Analyst with strong Data Governance experience.

This is a direct hire full-time role with a company that offers competitive compensation in addition to a phenomenal benefits package.

In this role you will play an important role implementing the enterprise data strategy and Key Data Element (KDE) management; this will include establishing and maintaining business data specifications and requirements, SOPs and data standards.

In summary you will have three areas of focus:

1.  Data Strategy Execution
  • Work with Business Groups to create responsibility matrices for end to end processes that impact Enterprise level KDEs.
  • Partner with IT to implement data standards, business rules and DQ issues and escalation procedures.
  • Facilitate and support education and ongoing training in Enterprise data management policies and procedures.
  • Document complete lifecycle processes for KDEs and contribute to Enterprise Master Data Management Strategy as it relates to data mining, sourcing and reporting.

2. Metadata Management:
  • Be the SME on enterprise data domains and attributes. Work with functional units to identify business terms, define rules and standards, lineage mapping and socialize progress among stakeholders throughout the branch.
  • Develop and maintain data conceptual and logical glossaries and work with IT to develop or relate technical glossaries.
  • Work with Business Process Owners and the Data Governance User Groups to identify, classify and define each assigned KDE and ensure that each element has a clear and unambiguous definition.
  • Initiate and oversee changes (such as creation, modification, deletion) to KDEs, recommend the prioritization and identify the impact for the key stakeholders.
  • Document and maintain data calculation rules, data sourcing rules, data transformation rules and data lineage in a centralized data governance repository.

3. Data Quality Management:
  • Partner with the Data Quality Manager to facilitate and support Enterprise-wide data quality improvement initiatives.
  • Partner with Data Custodians, Business Process owners and IT data to ensure data used for regulatory and managerial and operational reporting is fit for purpose.
  • Document potential data quality issues, and manage data issue remediation and control processes.


Requirements include:
  • Extensive business process and/or data management relevant experience in the financial services industry
  • Experience working in an Enterprise Data Management Program as well as a sound understanding of metadata management, data quality concepts and familiarity with regulatory requirements of the financial services industry
  • Deep experience with relational databases, metadata modeling and taxonomy concepts
  • Experience in process design (including Green Belt or Black Belt certification) preferred
  • Completed Bachelor’s degree with Computer Science or related (math, engineering,...) course of study
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