Data Steward

Data Steward:

Main responsibilities

Subject Matter Expert on CDGP, Metadata / Data Quality Standards & Processes, as well as being knowledgeable with Data Concerns Remediation Management (DCRM), Metrics & Reporting, Data Tools & Capabilities and other data-related Citi Policies and Standards.

Execute Data Stewardship initiatives related to our DOM. Activities include, but not limited to:

Understand Data Consumer related data requirements (e.g., business scope, risk related metrics, data issues, data requirements, and Data Quality rules.)

Establish and maintain all Metadata (e.g., Data Cataloging, Data Lineage), Data Sources / Ownership, and Data Modeling in an approved tool

Perform Data Profiling analysis

Identify, resolve, and monitor DQ related issues (DCRM)

Perform Data and Source Certification

Define and implement Data Quality controls & KPIs.

Support the Data Quality issue/defect management process within the business unit and maintain repository of issues for monitoring and tracking Data Quality issues.

Conduct root-cause analysis for data issues / defects, and support / promote its resolution.

Identify and propose CDEs while defining, standardizing and documenting the metadata under each business domain.

Support efforts in training, communication, and Change Management to achieve enterprise-wide change associated with Data Steward initiatives.

Support efforts to create or enhance Data Governance related procedures, user guides, business process maps, training materials, and Change Management documentation.

Monitor and report on Data Steward related Metrics (e.g., define/ gather metrics, develop dashboards, etc.) as per the standards defined by ECDO.

Support efforts to drive implementation and adoption of tools necessary to build and run effective Data Management / Quality processes and capabilities.

Appropriately assess risk when business decisions are made

Identifies and supports opportunities to streamline and simplify the execution of the CDGP.

Present status updates, issues / challenges / risks and solutions to senior management, stakeholders and partners in a succinct manner to drive decision-making and actions.

Conduct meetings to solve issues / challenges / risks by factoring input from partners and diverse points of view.

Promote data as an asset and drive culture change to make the organization data savvy via lunch-n-learn sessions and equivalent forums in partnership with other Data Providers and stakeholders.