Data Management Officer at Lloyds Bank GmbH
10178 Berlin, Mitte, Germany -
Full Time


Start Date

Immediate

Expiry Date

22 May, 25

Salary

0.0

Posted On

22 Feb, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

German, Analytical Skills, English, Communication Skills

Industry

Information Technology/IT

Description

BECOME PART OF LLOYDS BANK GMBH!

We are a team of 50 different nationalities where colleagues and customers come first. Do you want to be part of our great team? Apply today!
The Data Management officer is responsible for the company wide implementation of the data governance framework and assist data governance activities.

YOUR KNOWLEDGE/EXPERIENCE

  • Educated to degree level in a data related discipline
  • Knowledge of data management frameworks (ex. DAMA -DMBOK, DCAM)
  • Several years of professional experience in data management and project management
  • Excellent analytical skills
  • Capability to build effective and collaborative relationships
  • Effective verbal and written communication skills
  • Fluency in English (Dutch and/or German is a plus)
Responsibilities
  • Work together with Change, Compliance and IT to manage data risk and change (DSOC) within agreed risk appetite
  • Define, monitor and report on data management risk and control indicators
  • Maintain the data governance framework and procedures and implement the data governance framework
  • Assist and coordinate the data quality issue management
  • Assist implementation of and maintenance of data domain business data dictionaries, data quality requirements and controls of critical data
  • Support data stewards with identifying critical data and data quality rules
  • Contribute to the assessment of new suppliers and relevant contract negotiations and to the review of existing suppliers in the area of Data Management
  • Provide trainings in data management for data governance specific roles.
  • Act as an ambassador and advisor for Data Quality and contribute to build a culture of continuous improvement of Data Quality
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