Data Governance Analyst

Citi Handlowy

Warsaw, Poland
Base: 151,920.00 zł - 258,680.00 zł annually; bonu...
Hybrid (up to 2 days working at home per week)
Strong knowledge of data processing and technology
Process engineering and control management expertise
Experience with banking products and regulatory needs
Citi Handlowy is seeking a Data Governance Analyst in Warsaw, Poland, to support the Enterprise Data Domain Lead team within the Enterprise Data Office. The role focuses on ensuring effective data management and quality across business lines, requiring strong analytical and process management skills

Job Summary

  • The role supports the Enterprise Data Domain Lead team in ensuring effective sustainable operation of the firm's Data Domains.
  • Responsibilities include overseeing the Data Domain Framework, managing Critical Data Element onboarding, and maintaining the Enterprise Glossary.
  • Candidates will collaborate with numerous teams to define metrics, approve changes, and drive continuous improvement of data governance processes.

Matching Summary

Match Score: 85

Citi Handlowy is seeking a Data Governance Analyst in Warsaw, Poland, to support the Enterprise Data Domain Lead team within the Enterprise Data Office. The role focuses on ensuring effective data management and quality across business lines, requiring strong analytical and process management skills.

Salary

Base: 151,920.00 zł - 258,680.00 zł annually; Bonus: Discretional annual performance related bonus; Benefits: Private Medical Care, Pension Plan, Paid Parental Leave, Sport Card

Skills & Requirements

Must-have

  • Strong knowledge of data processing and technology
  • Process engineering and control management expertise
  • Experience with banking products and regulatory needs
  • Ability to work with high levels of ambiguity
  • Skills in defining governance requirements for CDEs

Nice-to-have

  • Constructive debate and stakeholder collaboration skills
  • Experience presenting reports and identifying improvements
  • Knowledge of risk and control design frameworks
  • Training and development capabilities for data leads

Key Requirements

  • Proven ability to work with high levels of ambiguity
  • Strong basis of process and control management
  • Knowledge of metrics, Risk and Control design
  • Attention to detail crucial for data lifecycle aspects

Work Rights

Not specified

Tailored Resume

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